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35 results on '"Iana Atanassova"'

1. The context of multiple in-text references and their signification

Author

Iana Atanassova, Marc Bertin, Laboratoire d'Etudes et de Recherches Appliquées en Sciences Sociales (LERASS), Université Paul-Valéry - Montpellier 3 (UPVM)-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Centre de recherches interdisciplinaires et transculturelles - UFC (EA 3224) (CRIT), Université de Franche-Comté (UFC), and Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)

Subjects
Structure (mathematical logic), Information retrieval, POS tagging, Point (typography), Computer science, 05 social sciences, Section (typography), Context (language use), Library and Information Sciences, 050905 science studies, Linguistics, Article, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, IMRaD structure, Citation analysis, In-text references, Bibliometrics, Noun, Rhetorical question, Multiple in-text references, 0509 other social sciences, 050904 information & library sciences, IMRAD, ComputingMilieux_MISCELLANEOUS, Content citation analysis
Abstract

In this paper, we consider sentences that contain multiple in-text references (MIR) and their position in the rhetorical structure of articles. We carry out the analysis of MIR in a large-scale dataset of about 80,000 research articles published by the Public Library of Science in 7 journals. We analyze two major characteristics of MIR: their positions in the IMRaD structure of articles and the number of in-text references that make up a MIR in the different journals. We show that MIR are rather frequent in all sections of the rhetorical structure. In the Introduction section, sentences containing MIR account for more than half of the sentences with references. We examine the syntactic patterns that are most used in the contexts of both multiple and single in-text references and show that they are composed, for the most part, of noun groups. We point out the specificity of the Methods section in this respect.

Published
2017
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2. Concevoir un dispositif innovant pour professionaliser la formation au référencement web: le projet SEO-ELP

Author

Jean-Claude SAGOT, Sylvain Sagot, Iana Atanassova, Edition, Littératures, Langages, Informatique, Arts, Didactique, Discours - UFC (EA 4661) (ELLIADD), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Centre de recherches interdisciplinaires et transculturelles - UFC (EA 3224) (CRIT), Edition, Littératures, Langages, Informatique, Arts, Didactique, Discours - UFC (UR 4661) (ELLIADD), and Centre de recherches interdisciplinaires et transculturelles - UFC (UR 3224) (CRIT)

Subjects
[SHS.INFO]Humanities and Social Sciences/Library and information sciences, [SCCO.COMP]Cognitive science/Computer science, [SCCO.LING]Cognitive science/Linguistics, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [INFO.INFO-FL]Computer Science [cs]/Formal Languages and Automata Theory [cs.FL], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY], [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-DL]Computer Science [cs]/Digital Libraries [cs.DL], [INFO.EIAH]Computer Science [cs]/Technology for Human Learning, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], [SHS.LANGUE]Humanities and Social Sciences/Linguistics, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2020

3. Identifying the Conceptual Space of Citation Contexts using Coreferences

Author

Marc Bertin, Pierre Jonin, Frédéric Armetta, Iana Atanassova, Equipe de recherche de Lyon en sciences de l'information et de la communication (ELICO), Sciences Po Lyon - Institut d'études politiques de Lyon (IEP Lyon), Université de Lyon-Université de Lyon-École nationale supérieure des sciences de l'information et des bibliothèques (ENSSIB), Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université Lumière - Lyon 2 (UL2), Systèmes Cognitifs et Systèmes Multi-Agents (SyCoSMA), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Centre de recherches interdisciplinaires et transculturelles - UFC (EA 3224) (CRIT), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), SIGIR, Muthu Kumar Chandrasekaran, Philipp Mayr, Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Centre de recherches interdisciplinaires et transculturelles - UFC (UR 3224) (CRIT), Bertin, Marc, Université Lumière - Lyon 2 (UL2)-École nationale supérieure des sciences de l'information et des bibliothèques (ENSSIB), Université de Lyon-Université de Lyon-Sciences Po Lyon - Institut d'études politiques de Lyon (IEP Lyon), Université de Lyon, Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, Coreference Resolution, [INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL], [SHS.INFO]Humanities and Social Sciences/Library and information sciences, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR], Citation contexts, Deep learning, [SHS.INFO] Humanities and Social Sciences/Library and information sciences, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Abstract

International audience; The study of citation contexts is an important element in understanding the function of citations and categorizing the relationshipsbetween works. One of the problems in this field is defining the size of citation contexts. In this paper we propose the definition of citationblocks (CB) that are citation contexts composed of one or more sentences that are linked by coreference clusters. We describe the methodology forthe automatic processing and determining the boundaries of CB and observe the different sizes of CB in the different sections of the IMRaDstructure of articles. The results are obtained from a sample of 70,000 citation contexts extracted from the PLOS dataset.

Published
2019

4. Analyse morphosyntaxique de l'arabe par une approche linguisitique

Author

Youcef Ihab Morsi, Iana Atanassova, Centre de recherches interdisciplinaires et transculturelles - UFC (EA 3224) (CRIT), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Atanassova, Iana, and Centre de recherches interdisciplinaires et transculturelles - UFC (UR 3224) (CRIT)

Subjects
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], [SHS.INFO]Humanities and Social Sciences/Library and information sciences, [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing, [SCCO.COMP]Cognitive science/Computer science, [SHS.INFO] Humanities and Social Sciences/Library and information sciences, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.EIAH] Computer Science [cs]/Technology for Human Learning, [INFO.INFO-FL]Computer Science [cs]/Formal Languages and Automata Theory [cs.FL], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY], [SCCO.COMP] Cognitive science/Computer science, [INFO.INFO-DL]Computer Science [cs]/Digital Libraries [cs.DL], [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], [SHS.LANGUE]Humanities and Social Sciences/Linguistics, ComputingMilieux_MISCELLANEOUS, [INFO.INFO-FL] Computer Science [cs]/Formal Languages and Automata Theory [cs.FL], [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [SCCO.LING]Cognitive science/Linguistics, [SHS.LANGUE] Humanities and Social Sciences/Linguistics, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [INFO.INFO-CY] Computer Science [cs]/Computers and Society [cs.CY], [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [INFO.EIAH]Computer Science [cs]/Technology for Human Learning, [INFO.INFO-IT] Computer Science [cs]/Information Theory [cs.IT], [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-DL] Computer Science [cs]/Digital Libraries [cs.DL], [SCCO.LING] Cognitive science/Linguistics, [INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC]
Abstract

International audience

Published
2019

5. Editorial: Mining Scientific Papers: NLP-enhanced Bibliometrics

Author

Marc Bertin, Iana Atanassova, Philipp Mayr, Centre Interuniversitaire de Rercherche sur la Science et la Technologie (CIRST), Université du Québec à Montréal = University of Québec in Montréal (UQAM), Equipe de recherche de Lyon en sciences de l'information et de la communication (ELICO), Université Lumière - Lyon 2 (UL2)-École nationale supérieure des sciences de l'information et des bibliothèques (ENSSIB), Université de Lyon-Université de Lyon-Sciences Po Lyon - Institut d'études politiques de Lyon (IEP Lyon), Université de Lyon-Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Laboratoire d'Etudes et de Recherches Appliquées en Sciences Sociales (LERASS), Université Paul-Valéry - Montpellier 3 (UPVM)-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Unité Régionale de Formation à l'Information Scientifique et Technique Occitanie (URFIST Occitanie), Université Fédérale Toulouse Midi-Pyrénées, Langues, logiques, informatiques, cognition (LaLIC), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Leibniz-Institute for the Social Sciences [Mannheim] (GESIS ), Université Paul-Valéry - Montpellier 3 (UPVM)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT), Université Paris-Sorbonne (UP4)-Centre National de la Recherche Scientifique (CNRS), and Leibniz-Institute for the Social Sciences [Mannheim] (GESIS)

Subjects
Computer science, [SHS.INFO]Humanities and Social Sciences/Library and information sciences, text mining, Bibliometrics, 050905 science studies, computer.software_genre, scientific papers, scientometrics, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], Bibliography. Library science. Information resources, computational linguistics, [SHS.HISPHILSO]Humanities and Social Sciences/History, Philosophy and Sociology of Sciences, natural language processing, [SHS.LANGUE]Humanities and Social Sciences/Linguistics, ComputingMilieux_MISCELLANEOUS, citation content analysis, business.industry, 05 social sciences, Scientometrics, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], Artificial intelligence, 0509 other social sciences, Computational linguistics, 050904 information & library sciences, business, computer, Natural language processing
Abstract

International audience

Published
2019
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6. INFuture2017 - Integrating ICT in Society

Author

Iana Atanassova, wajdi zaghouani, Bruno Kragić, Kuldar Aas, Hrvoje Stančić, Sanja Seljan, Centre de recherches interdisciplinaires et transculturelles - UFC (EA 3224) (CRIT), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Department of Information and Communication Sciences Faculty of Humanities and Social Sciences, University of Zagreb, Croatia, The Miroslav Krleža Institute of Lexicography Zagreb, Croatia, Iana Atanassova, Wajdi Zaghouani, Bruno Kragić, Kuldar Aas, Hrvoje Stančić, Sanja Seljan, and Centre de recherches interdisciplinaires et transculturelles - UFC (UR 3224) (CRIT)

Subjects
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [SHS.INFO]Humanities and Social Sciences/Library and information sciences, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [SHS.LANGUE]Humanities and Social Sciences/Linguistics, ComputingMilieux_MISCELLANEOUS, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
Abstract

International audience

Published
2017

7. A preliminary study to compare deep learning with rule-based approaches for citation classification

Author

Julien Perier-Camby, Marc Bertin, Iana Atanassova, Frédéric Armetta, Bertin, Marc, Equipe de recherche de Lyon en sciences de l'information et de la communication (ELICO), Sciences Po Lyon - Institut d'études politiques de Lyon (IEP Lyon), Université de Lyon-Université de Lyon-École nationale supérieure des sciences de l'information et des bibliothèques (ENSSIB), Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université Lumière - Lyon 2 (UL2), Centre de recherches interdisciplinaires et transculturelles - UFC (EA 3224) (CRIT), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Systèmes Cognitifs et Systèmes Multi-Agents (SyCoSMA), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université Lumière - Lyon 2 (UL2)-École nationale supérieure des sciences de l'information et des bibliothèques (ENSSIB), Université de Lyon-Université de Lyon-Sciences Po Lyon - Institut d'études politiques de Lyon (IEP Lyon), Université de Lyon, Centre de recherches interdisciplinaires et transculturelles - UFC (UR 3224) (CRIT), Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), and Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL)

Subjects
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL], [SHS.INFO]Humanities and Social Sciences/Library and information sciences, [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], [SHS.INFO] Humanities and Social Sciences/Library and information sciences, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Abstract

International audience; Categorization of semantic relationships between scientific papers is a key to characterize the condition of a research field and to identify influential works. Recently, new approaches based on Deep Learning have demonstrated good capacities to tackle Natural Language Processing problems, such as text classification and information extraction. In this paper, we show how deep learning algorithms can automatically learn to classify citations, and could provide a relevant alternative when compared with methods based on pattern extractions from the recent state of the art. The paper discusses their appropriateness given the requirement of large datasets to train neural networks.

Published
2019

8. Recommending Scientific Papers: The Role of Citation Contexts

Author

Iana Atanassova, Marc Bertin, Equipe de recherche de Lyon en sciences de l'information et de la communication (ELICO), Sciences Po Lyon - Institut d'études politiques de Lyon (IEP Lyon), Université de Lyon-Université de Lyon-École nationale supérieure des sciences de l'information et des bibliothèques (ENSSIB), Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université Lumière - Lyon 2 (UL2), Centre de recherches interdisciplinaires et transculturelles - UFC (UR 3224) (CRIT), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Université Lumière - Lyon 2 (UL2)-École nationale supérieure des sciences de l'information et des bibliothèques (ENSSIB), Université de Lyon-Université de Lyon-Sciences Po Lyon - Institut d'études politiques de Lyon (IEP Lyon), Université de Lyon, and Centre de recherches interdisciplinaires et transculturelles - UFC (EA 3224) (CRIT)

Subjects
Computer science, [SHS.INFO]Humanities and Social Sciences/Library and information sciences, 05 social sciences, Recommender Systems, 02 engineering and technology, Bibliometrics, Recommender system, Data science, Citation Context Analysis, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], [SHS.HISPHILSO]Humanities and Social Sciences/History, Philosophy and Sociology of Sciences, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, Context analysis, Information Retrieval, 0202 electrical engineering, electronic engineering, information engineering, Scientific Papers, 020201 artificial intelligence & image processing, Citation context analysis, 0509 other social sciences, [SHS.LANGUE]Humanities and Social Sciences/Linguistics, 050904 information & library sciences, Citation, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), Natural Language Processing
Abstract

International audience; This paper addresses the problem of building recommender systems for scientific papers based on the linguistic and contextual analysis of citation contexts. We explain the importance of taking into consideration citation contexts and the different methodologies that exist as well as the ways that citations impact recommender systems. We also discuss the limits of using citation contexts to generate recommendations.

Published
2018
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9. EC3 : Un démonstrateur fondé sur l’Exploration Contextuelle des données Textuelles pour la détection et la visualisation des informations cibles

Author

Christophe Jouis, Hammou Fadili, Jean-Gabriel Ganascia, Bin Yang, Marc Bertin, Iana Atanassova, Agents Cognitifs et Apprentissage Symbolique Automatique (ACASA), Laboratoire d'Informatique de Paris 6 (LIP6), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), CEDRIC. Ingénierie des Systèmes d'Information et de Décision (CEDRIC - ISID), Centre d'études et de recherche en informatique et communications (CEDRIC), Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), German Research Centre for Geosciences - Helmholtz-Centre Potsdam (GFZ), Laboratoire d'Etudes et de Recherches Appliquées en Sciences Sociales (LERASS), Université Paul-Valéry - Montpellier 3 (UPVM)-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Langues, logiques, informatiques, cognition (LaLIC), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), FADILI, Hammou, Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM), Université Paul-Valéry - Montpellier 3 (UPVM)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT), and Université Paris-Sorbonne (UP4)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR], ComputingMilieux_MISCELLANEOUS, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
Abstract

International audience

Published
2017

10. On the composition of scientific abstracts

Author

Vincent Larivière, Iana Atanassova, Marc Bertin, Centre de recherches interdisciplinaires et transculturelles - UFC (EA 3224) (CRIT), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Centre Interuniversitaire de Rercherche sur la Science et la Technologie (CIRST), Université du Québec à Montréal = University of Québec in Montréal (UQAM), Centre interuniversitaire de recherche sur la science et la technologie (CIRST), Université de Montréal (UdeM), Centre Interuniversitaire de Rercherche sur la Science et la Technologie ( CIRST ), Université du Québec à Montréal (UQAM), Centre de recherches interdisciplinaires et transculturelles - UFC ( CRIT ), Université Bourgogne Franche-Comté ( UBFC ) -Université de Franche-Comté ( UFC ), Centre interuniversitaire de recherche sur la science et la technologie ( CIRST ), Université de Montréal, and Université de Montréal. Faculté des arts et des sciences. École de bibliothéconomie et des sciences de l'information

Subjects
FOS: Computer and information sciences, [ INFO.INFO-TT ] Computer Science [cs]/Document and Text Processing, Computer science, 02 engineering and technology, Library and Information Sciences, computer.software_genre, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], Argumentation theory, Computer Science - Information Retrieval, Abstracts, H.3.3, Similarity (psychology), Abstracting, 0202 electrical engineering, electronic engineering, information engineering, Information retrieval, Digital Libraries (cs.DL), [ INFO.INFO-CL ] Computer Science [cs]/Computation and Language [cs.CL], Composition (language), H.3.1, ComputingMilieux_MISCELLANEOUS, Structure (mathematical logic), Information science and documentation, business.industry, I.2.7, 05 social sciences, Computer Science - Digital Libraries, Scientific article, Text retrieval, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, 020201 artificial intelligence & image processing, Artificial intelligence, 0509 other social sciences, 050904 information & library sciences, business, computer, Sentence, Natural language processing, Algorithms, Information Retrieval (cs.IR), Information Systems
Abstract

Scientific abstracts contain what is considered by the author(s) as information that best describe documents' content. They represent a compressed view of the informational content of a document and allow readers to evaluate the relevance of the document to a particular information need. However, little is known on their composition. This paper contributes to the understanding of the structure of abstracts, by comparing similarity between scientific abstracts and the text content of research articles. More specifically, using sentence-based similarity metrics, we quantify the phenomenon of text re-use in abstracts and examine the positions of the sentences that are similar to sentences in abstracts in the IMRaD structure (Introduction, Methods, Results and Discussion), using a corpus of over 85,000 research articles published in the seven PLOS journals. We provide evidence that 84% of abstract have at least one sentence in common with the body of the article. Our results also show that the sections of the paper from which abstract sentence are taken are invariant across the PLOS journals, with sentences mainly coming from the beginning of the introduction and the end of the conclusion., Comment: Preprint: Journal of Documentation, vol. 72, issue 4. Submitted 12-Sep-2015, accepted 10-Feb-2016. 13 pages

Published
2016
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11. Multiple In-text Reference Phenomenon

Author

Marc Bertin, Iana Atanassova, Centre Interuniversitaire de Rercherche sur la Science et la Technologie (CIRST), Université du Québec à Montréal = University of Québec in Montréal (UQAM), Centre de recherche en linguistique et traitement automatique des langues, Lucien Tesnière - UFC (EA 2283) (TESNIERE), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Centre de recherches interdisciplinaires et transculturelles - UFC (EA 3224) (CRIT), and Centre de recherches interdisciplinaires et transculturelles - UFC (UR 3224) (CRIT)

Subjects
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, Multiple In-text References, IMRaD structure, Bibliometrics, [SHS.INFO]Humanities and Social Sciences/Library and information sciences, Citation Analysis, ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.7: Digital Libraries, In-text References, Content Citation Analysis
Abstract

International audience; In this paper we consider sentences that contain Multiple In-text References (MIR) and their position in the rhetorical structure of articles. We carry out the analysis of MIR in a large scale dataset of about 80,000 research articles published by the Public Library of Science in 7 journals. We analyze two major characteristics of MIR: their positions in the IMRaD structure of articles, and the number of in-text references that make up a MIR in the different journals. We show that MIR are rather frequent in all sections of the rhetorical structure. In the Introduction section, sentences containing MIR account for more than half of the sentences with references.

Published
2016

12. The invariant distribution of references in scientific articles

Author

Marc Bertin, Iana Atanassova, Yves Gingras, Vincent Larivière, Centre Interuniversitaire de Rercherche sur la Science et la Technologie (CIRST), Université du Québec à Montréal = University of Québec in Montréal (UQAM), Centre de recherches interdisciplinaires et transculturelles - UFC (EA 3224) (CRIT), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Centre interuniversitaire de recherche sur la science et la technologie (CIRST), and Université de Montréal (UdeM)

Subjects
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2016
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13. Temporal Properties of Recurring In-text References

Author

Marc Bertin, Iana Atanassova, Centre Interuniversitaire de Rercherche sur la Science et la Technologie ( CIRST ), Université du Québec à Montréal (UQAM), Centre de recherches interdisciplinaires et transculturelles - UFC ( CRIT ), Université Bourgogne Franche-Comté ( UBFC ) -Université de Franche-Comté ( UFC ), Centre de recherches interdisciplinaires et transculturelles - UFC (EA 3224) (CRIT), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Centre Interuniversitaire de Rercherche sur la Science et la Technologie (CIRST), and Université du Québec à Montréal = University of Québec in Montréal (UQAM)

Subjects
0301 basic medicine, Structure (mathematical logic), [ INFO.INFO-DL ] Computer Science [cs]/Digital Libraries [cs.DL], [ INFO.INFO-TT ] Computer Science [cs]/Document and Text Processing, Operations research, Computer science, 05 social sciences, Section (typography), Library and Information Sciences, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], Linguistics, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, 03 medical and health sciences, 030104 developmental biology, Rhetorical question, [INFO.INFO-DL]Computer Science [cs]/Digital Libraries [cs.DL], [ INFO.INFO-CL ] Computer Science [cs]/Computation and Language [cs.CL], 0509 other social sciences, 050904 information & library sciences, IMRAD, ComputingMilieux_MISCELLANEOUS
Abstract

In this paper we study the properties of recurring in-text references in research articles and more specifically their positions in the rhetorical structure of articles and their age with respect to the citing article. We have processed a large scale corpus of approximately 80,000 papers published by PLOS (Public Library of Science). We examine the number and types of recurring in-text references, as well as their age according to positions in the IMRaD structure. (Introduction, Methods, Results, and Discussion). The results show that the age of recurring references varies considerably in all sections and journals. While they are especially dense in the Introduction section, most of them reappear in the beginning of the Results and the Discussion sections. We also observe that the beginning of the Methods and the Results sections share a significant number of recurring references.

Published
2016
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14. Analyse logométrique des revues québécoises : traitements et visualisations

Author

Iana Atanassova, Jean-Philippe Warren, Marc Bertin, Centre de recherches interdisciplinaires et transculturelles - UFC (UR 3224) (CRIT), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Concordia University [Montreal], and Centre de recherches interdisciplinaires et transculturelles - UFC (EA 3224) (CRIT)

Subjects
[SHS.HISPHILSO]Humanities and Social Sciences/History, Philosophy and Sociology of Sciences, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [SHS.INFO]Humanities and Social Sciences/Library and information sciences, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [SHS.LANGUE]Humanities and Social Sciences/Linguistics, ComputingMilieux_MISCELLANEOUS, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
Abstract

International audience

Published
2015

15. Extraction and Characterization of Citations in Scientific Papers

Author

Marc Bertin, Iana Atanassova, Centre Interuniversitaire de Rercherche sur la Science et la Technologie (CIRST), Université du Québec à Montréal = University of Québec in Montréal (UQAM), and Presutti V. et al.

Subjects
Parsing, Information retrieval, Computer science, computer.internet_protocol, [SHS.INFO]Humanities and Social Sciences/Library and information sciences, Section (typography), Linked data, CRF, computer.software_genre, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], Metadata, Set (abstract data type), [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, Citation Acts, Semantic Annotation, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], Bibliography Parsing, RDF graphs, [SHS.LANGUE]Humanities and Social Sciences/Linguistics, computer, Protocol (object-oriented programming), GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), Sentence, XML, Linked Open Data
Abstract

International audience; We propose a hybrid method for the extraction and characterization of citations in scientific papers using machine learning combined with rule-based approaches. Our protocol consists of the extraction of metadata, bibliography parsing, section titles processing, and find-grained semantic annotation on the sentence level of texts. This allows us to generate Linked Open Data from a set of research papers in XML.

Published
2014
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16. Fouille textuelle, extraction et catégorisation de contextes de citations pour les articles scientifiques

Author

Marc Bertin, Iana Atanassova, Centre Interuniversitaire de Rercherche sur la Science et la Technologie (CIRST), Université du Québec à Montréal = University of Québec in Montréal (UQAM), Observatoire des Sciences et des Technologies [Montréal] (OST), Acfas (Association francophone pour le savoir), and Bertin, Marc

Subjects
[SHS.HISPHILSO]Humanities and Social Sciences/History, Philosophy and Sociology of Sciences, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [SHS.HISPHILSO] Humanities and Social Sciences/History, Philosophy and Sociology of Sciences, [INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL], [SHS.INFO]Humanities and Social Sciences/Library and information sciences, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR], [SHS.LANGUE]Humanities and Social Sciences/Linguistics, [SHS.LANGUE] Humanities and Social Sciences/Linguistics, [SHS.INFO] Humanities and Social Sciences/Library and information sciences, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
Abstract

International audience; Nous proposons une méthodologie de fouille textuelle orientée autour des actes de citation présents dans les articles scientifiques. En étudiant la structure IMRaD ainsi que la distribution des références bibliographiques, nous pouvons mieux appréhender la structure cognitive des publications. L'analyse automatique d'un corpus de 45000 articles nous amène à dégager des propriétés intrinsèques et invariantes aux articles scientifiques. Notre méthode repose sur : a) l'identification automatique des références, b) l'extraction des contextes de citation, c) l'analyse des relations entre auteurs correspondantes aux actes de citation, et d) l'annotation sémantique de ces relations. Cette approche fait appel à une organisation de formes discursives présentes dans les contextes de citation. Ces dernières, organisées sous forme d'ontologie linguistique, serviront de ressources aux outils d'annotation sémantique. Les perspectives de cette approche se trouvent notamment dans des applications en Recherche d'Information pour l’étude de réseaux complexes en proposant des outils de filtrage sémantique autour des actes de citation. Notre prototype du système propose des interfaces de recherche et de navigation textuelle offrant de nouveaux accès plein texte aux contenus scientifiques.

Published
2014

17. A study of lexical distribution in citation contexts through the IMRaD standard

Author

Marc Bertin, Iana Atanassova, Centre interuniversitaire de recherche sur la science et la technologie (CIRST), Université du Québec à Montréal = University of Québec in Montréal (UQAM)-Université de Montréal (UdeM), and CEUR Workshop Proceedings

Subjects
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, Citation Acts, [SHS.INFO]Humanities and Social Sciences/Library and information sciences, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], Lexical Distribution, Bibliographic References, [SHS.LANGUE]Humanities and Social Sciences/Linguistics, Citation Contexts, Content Citation Analysis, IMRaD
Abstract

International audience; n this paper we present a large-scale approach for the extraction of verbs in reference contexts. We analyze citation contexts in relation with the IMRaD structure of scientific articles and use rank correlation analysis to characterize the distances between the section types. The results show strong differences in the verb frequencies around citations between the sections in the IMRaD structure. This study is a ”one-more-step” towards the lexical and semantic analysis of citation contexts.

Published
2014

18. The Linguistic Context of Citations: Iteration X.6

Author

Marc Bertin, Vincent Larivière, Yves Gingras, Iana Atanassova, Centre interuniversitaire de recherche sur la science et la technologie (CIRST), Université du Québec à Montréal = University of Québec in Montréal (UQAM)-Université de Montréal (UdeM), Université de Montréal (UdeM), Katy Börner, and Samuel Mills

Subjects
[SHS.HISPHILSO]Humanities and Social Sciences/History, Philosophy and Sociology of Sciences, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, Courtesy of OST-CIRST, Université du Québec à Montréal. In "10th Iteration (2014): The Future of Science Mapping," Places & Spaces: Mapping Science, edited by Katy Börner and Samuel Mills. Bertin, Marc, Iana Atanassova, Vincent Larivière, and Yves Gingras. 2014. The Linguistic Context of Citations. Courtesy of OST-CIRST, Université du Québec à Montréal. In "10th Iteration (2014): The Future of Science Mapping," Places & Spaces: Mapping Science, edited by Katy Börner and Samuel Mills, [SHS.INFO]Humanities and Social Sciences/Library and information sciences, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [SHS.LANGUE]Humanities and Social Sciences/Linguistics, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
Abstract

The MapsMaps serve as navigational tools, documenting the landscape, warning of hazards, and highlighting potential routes of travel. Science maps chart the more abstract spaces of data and knowledge, helping forecast new fields of inquiry. Individually and as a whole, the science maps in Places & Spaces: Mapping Science use data to tell meaningful stories that both the scientist and the layperson can understand and appreciate.Every year for a decade 10 new maps were added to the Places & Spaces: Mapping Science exhibit, resulting in the 100 maps found here.; International audience; This map by computational linguists Marc Bertin and Iana Atanassova, information scientist Vincent Larivière, and historian of science Yves Gingras looks at verb occurrences found in the citation contexts of the different sections of scientific papers. Using about 50,000 scientific papers published in the PLoS series of journals over the period 2009-2012, they analyzed the full-text citation contexts to extract verbs in the introduction, methods, results, and discussion sections. Each of the four sections tends to make use of different sets of verbs. The circle in the middle was generated using the Circos tool and is meant to support the exploration of relationships between frequently used verbs and their positions in different paper sections. The linguistic contexts in which verbs occur were extracted using the Stanford part-of-speech tagger. The right side of the map shows the linguistic citation context for two verbs. On the whole, this map provides insight on the internal organization of scientific papers through the specific verbs associated with citations appearing in the different sections.

Published
2014

19. Hybrid Approach for the Semantic Processing of Scientic Papers

Author

Marc Bertin, Iana Atanassova, Bertin, Marc, Centre Interuniversitaire de Rercherche sur la Science et la Technologie (CIRST), and Université du Québec à Montréal = University of Québec in Montréal (UQAM)

Subjects
[SHS.INFO]Humanities and Social Sciences/Library and information sciences, [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing, CRF, [SHS.LANGUE] Humanities and Social Sciences/Linguistics, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], [SHS.INFO] Humanities and Social Sciences/Library and information sciences, [SHS.HISPHILSO]Humanities and Social Sciences/History, Philosophy and Sociology of Sciences, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, Citation Acts, Semantic Annotation, [SHS.HISPHILSO] Humanities and Social Sciences/History, Philosophy and Sociology of Sciences, [INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], RDF graphs, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR], [SHS.LANGUE]Humanities and Social Sciences/Linguistics, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries)
Abstract

International audience; We propose a hybrid method for the extraction and characterization of citations in scientic papers using machine learning combined with rule-based approaches. Our protocol consists of the extraction of metadata, bibliography parsing, section titles processing, and nd-grained semantic annotation on the sentece level of texts. This allows us to generate Linked Open Data from a set of research papers in XML.

Published
2014

20. Faceted Semantic Search for Scientic Papers

Author

Iana Atanassova, Marc Bertin, Bertin, Marc, Centre Interuniversitaire de Rercherche sur la Science et la Technologie (CIRST), Université du Québec à Montréal = University of Québec in Montréal (UQAM), and European Semantic Web Conference ESWC

Subjects
[SHS.INFO]Humanities and Social Sciences/Library and information sciences, [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing, [SHS.LANGUE] Humanities and Social Sciences/Linguistics, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], [SHS.INFO] Humanities and Social Sciences/Library and information sciences, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, Semantic Facets, Solr, Semantic Annotation, [INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], Information Retrieval, Faceted Search, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR], [SHS.LANGUE]Humanities and Social Sciences/Linguistics
Abstract

International audience; Information Retriveal in scientic publications can be enhanced through semantic annotation in view to identify relevant sentences containing specic semantic relations such as the expression of methods, denitions, hypotheses. We present an IR System for scientic publications that provides the possibility to lter results according to semantic facets. The semantic annotations are obtained using a rule-based method that identies specic linguistic clues organized into a linguistic ontology. This approach is implemented with Solr Search Server and offers ecient search and navigation in scientic papers. The demontrator is available at http://sempub2014.nlp-labs.org/task3/.

Published
2014

21. Semantic Enrichment of Scientific Publications and Metadata: Citation Analysis Through Contextual and Cognitive Analysis

Author

Iana Atanassova, Marc Bertin, Langues, logiques, informatiques, cognition (LaLIC), and Université Paris-Sorbonne (UP4)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Information retrieval, Computer science, Semantic analysis (machine learning), 05 social sciences, Context (language use), 02 engineering and technology, Library and Information Sciences, Ontology (information science), Digital library, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], Metadata, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, Semantic grid, Citation analysis, Semantic computing, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, 0509 other social sciences, 050904 information & library sciences, ComputingMilieux_MISCELLANEOUS
Abstract

The last several years have seen the emergence of digital libraries from which documents are harvested using the OAI-PMH protocol. Considering the volume of data provided by these repositories, we are interested in the exploitation of the full text content of scientific publications. Our aim is to bring new value to scientific publications by automatic extraction and semantic analysis. The identification of bibliographic references in texts makes it possible to localize specific text segments that carry linguistic markers in order to annotate a set of semantic categories related to citations. This work uses a categorization of surface linguistic markers organized in a linguistic ontology. The semantic annotations are used to enrich the document metadata and to provide new types of visualizations in an information retrieval context. We present the system architecture as well as some experimental results.

Published
2012
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22. Quelques applications de fouille textuelle dédiées aux articles scientifiques (démonstration)

Author

Marc Bertin, Iana Atanassova, Jean-Pierre Desclés, Langues, logiques, informatiques, cognition (LaLIC), and Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SHS.HISPHILSO]Humanities and Social Sciences/History, Philosophy and Sociology of Sciences, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [SHS.INFO]Humanities and Social Sciences/Library and information sciences, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [SHS.LANGUE]Humanities and Social Sciences/Linguistics, ComputingMilieux_MISCELLANEOUS, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
Abstract

International audience

Published
2012

23. Semantic Enrichment of Scientific Publications and Metadata

Author

Marc Bertin, Iana Atanassova, Langues, logiques, informatiques, cognition (LaLIC), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Petr Knoth, Zdenek Zdrahal, and Andreas Juffinger

Subjects
[SHS.HISPHILSO]Humanities and Social Sciences/History, Philosophy and Sociology of Sciences, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [SHS.INFO]Humanities and Social Sciences/Library and information sciences, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [SHS.LANGUE]Humanities and Social Sciences/Linguistics, ComputingMilieux_MISCELLANEOUS, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
Abstract

International audience

Published
2012

24. Ordonnancement des réponses pour une recherche d'information sémantique à partir d'une ontologie discursive

Author

Iana Atanassova, Marc Bertin, Jean-Pierre Desclés, Langues, logiques, informatiques, cognition (LaLIC), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), ROUSSEY Catherine, and CHEVALLET Jean-Pierre

Subjects
[SHS.HISPHILSO]Humanities and Social Sciences/History, Philosophy and Sociology of Sciences, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [SHS.INFO]Humanities and Social Sciences/Library and information sciences, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [SHS.LANGUE]Humanities and Social Sciences/Linguistics, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
Abstract

National audience; Nous avons élaboré un système de recherche d'information sémantique en utilisant les annotations automatiques issues d'une ontologie discursive. Le système permet d'effectuer des recherches selon différentes catégories sémantiques liées aux citations bibliographiques dans des publications scientifiques. Nous avons proposé de nouveaux critères d'ordonnancement qui exploitent les annotations et la structure de l'ontologie. Ces critères prennent en compte la spécificité et la diversité des annotations, ainsi que les types de marqueurs linguistiques. Nous avons obtenu un score de pertinence que nous avons évalué en comparant les résultats du système avec des jugements de pertinence humains. L'évaluation montre que les algorithmes proposés produisent un ordonnancement de qualité pour les résultats se trouvant en début de liste.

Published
2012

25. Outils de fouille textuelle à partir d'annotations sémantiques

Author

Marc Bertin, Iana Atanassova, Jean-Pierre Desclés, Langues, logiques, informatiques, cognition (LaLIC), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and EGC

Subjects
[SHS.HISPHILSO]Humanities and Social Sciences/History, Philosophy and Sociology of Sciences, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [SHS.INFO]Humanities and Social Sciences/Library and information sciences, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [SHS.LANGUE]Humanities and Social Sciences/Linguistics, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
Abstract

International audience; Nous proposons des outils de fouille textuelle guidée par la sémantique reposant sur des annotations produites automatiquement selon des ontologies linguistiques. Cette approche offre à l'utilisateur final de nouveaux types de produits documentaires permettant une meilleure représentation du document dans le cadre d'une recherche d'informations.

Published
2012

26. Fouille sémantique des thèses en ligne : un projet de Paris-Sorbonne

Author

Jean-Pierre Desclés, Florence Le Priol, Motasem Alrahabi, Iana Atanassova, Marc Bertin, Langues, logiques, informatiques, cognition (LaLIC), and Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)

Subjects
exploration contextuelle, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, thesis on line, fouille sémantique, [SHS.INFO]Humanities and Social Sciences/Library and information sciences, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], filtrage et recherche d'information, semantic search, information retrieval, [SHS.LANGUE]Humanities and Social Sciences/Linguistics, contextual exploration, thèse en ligne, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
Abstract

International audience; Online publication of Phd theses gives young researchers a larger visibility for their work. The effective exploitation of these documents of hundreds of pages needs the development of appropriate filtering and information retrieval tools. Those currently available allow only hypertext navigation based on the table of contents or, at best, keyword search. By using the Contextual Exploration method, which identifies indicators andsemantic clues present in the context of indicators, allowing semantic annotation according to different points of view and indexing of the annotated text segments, we propose more sophisticated filtering and information retrieval, in order to obtain a quick and structured overview of the contents of a thesis.; La diffusion sur internet des thèses offre aux jeunes docteurs une valorisation plus ambitieuse et plus large de leur recherche. Pour mettre en valeur ces documents de plusieurs centaines de pages, des outils de filtrage et de recherche d'information puissants et adaptés doivent être proposés. Actuellement, les outils proposés ne permettent qu'une navigation hypertextuelle à partir de la table des matières ou, au mieux, une recherche par mots­-clés. Avec l'exploration contextuelle, méthode qui, à partir de l'identification d'un indicateur sémantique et d'indices présents dans le contexte de l'indicateur, permet l'annotation sémantique selon différents points de vue et une indexation des segments textuels annotés, nous proposons un filtrage et une recherche d'information plus élaborés permettant un aperçu rapide mais structuré du contenu de la thèse.

Published
2010

27. Extraction of Authors’ Definitions using Indexed Reference Identification

Author

Marc Bertin, Iana Atanassova, Jean-Pierre Desclés, Langues, logiques, informatiques, cognition (LaLIC), and Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SHS.HISPHILSO]Humanities and Social Sciences/History, Philosophy and Sociology of Sciences, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, Semantic annotation, [SHS.INFO]Humanities and Social Sciences/Library and information sciences, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], indexed references, [SHS.LANGUE]Humanities and Social Sciences/Linguistics, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], definition extraction
Abstract

International audience; In this paper we present the implementation of definition extraction from multilingual corpora of scientific articles. We establish relations between the definitions and authors by using indexed references in the text. Our method is based on a linguistic ontology designed for this purpose. We propose two evaluations of the annotations.

Published
2009

28. Editorial for the First Workshop on Mining Scientific Papers: Computational Linguistics and Bibliometrics

Author

Iana Atanassova, Marc Bertin, Philipp Mayr, Centre de recherche en linguistique et traitement automatique des langues, Lucien Tesnière - UFC (EA 2283) (TESNIERE), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Centre Interuniversitaire de Rercherche sur la Science et la Technologie (CIRST), Université du Québec à Montréal = University of Québec in Montréal (UQAM), Leibniz-Institute for the Social Sciences [Mannheim] (GESIS ), The International Society for Informetrics and Scientometrics (ISSI), Iana Atanassova, Marc Bertin, and Philipp Mayr

Subjects
[SHS.HISPHILSO]Humanities and Social Sciences/History, Philosophy and Sociology of Sciences, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [SHS.INFO]Humanities and Social Sciences/Library and information sciences, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [SHS.LANGUE]Humanities and Social Sciences/Linguistics, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
Abstract

International audience; The workshop "Mining Scientific Papers: Computational Linguistics and Bibliometrics" (CLBib 2015), co-located with the 15th International Society of Scientometrics and Informetrics Conference (ISSI 2015), brought together researchers in Bibliometrics and Computational Linguistics in order to study the ways Bibliometrics can benefit from large-scale text analytics and sense mining of scientific papers, thus exploring the interdisciplinarity of Bibliometrics and Natural Language Processing (NLP). The goals of the workshop were to answer questions like: How can we enhance author network analysis and Bibliometrics using data obtained by text analytics? What insights can NLP provide on the structure of scientific writing, on citation networks, and on in-text citation analysis? This workshop is the first step to foster the reflection on the interdisciplinarity and the benefits that the two disciplines Bibliometrics and Natural Language Processing can drive from it.

29. Interfacing the Domain of Global Security with Natural Language Processing: the Role of Language Modelling

Author

Marc Bertin, Sylviane Cardey, Peter Greenfield, Iana Atanassova, Laboratoire d'Etudes et de Recherches Appliquées en Sciences Sociales (LERASS), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Paul-Valéry - Montpellier 3 (UPVM), Unité Régionale de Formation à l'Information Scientifique et Technique Occitanie (URFIST Occitanie), Université Fédérale Toulouse Midi-Pyrénées, Centre de recherches interdisciplinaires et transculturelles - UFC (EA 3224) (CRIT), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Centre de recherche en linguistique et traitement automatique des langues, Lucien Tesnière - UFC (EA 2283) (TESNIERE), Université Paul-Valéry - Montpellier 3 (UPVM)-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, and Centre de recherches interdisciplinaires et transculturelles - UFC (UR 3224) (CRIT)

Subjects
[SHS.HISPHILSO]Humanities and Social Sciences/History, Philosophy and Sociology of Sciences, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [SHS.INFO]Humanities and Social Sciences/Library and information sciences, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [SHS.LANGUE]Humanities and Social Sciences/Linguistics, ComputingMilieux_MISCELLANEOUS, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
Abstract

International audience

30. Characterizing in-text citations using n-gram distributions

Author

Marc Bertin, Iana Atanassova, Centre interuniversitaire de recherche sur la science et la technologie (CIRST), Université du Québec à Montréal = University of Québec in Montréal (UQAM)-Université de Montréal (UdeM), Centre de recherches interdisciplinaires et transculturelles - UFC (UR 3224) (CRIT), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), The International Society for Informetrics and Scientometrics (ISSI), Albert Ali Salah, Yasar Tonta, Alkim Almila Akdag Salah, Cassidy R. Sugimoto, Umut Al, and Centre de recherches interdisciplinaires et transculturelles - UFC (EA 3224) (CRIT)

Subjects
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [SHS.INFO]Humanities and Social Sciences/Library and information sciences, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL, [SHS.LANGUE]Humanities and Social Sciences/Linguistics, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
Abstract

International audience; This article focuses on a Natural Language Processing (NLP) approach for the analysis of citation functions in scientific papers. Bibliometricstudies traditionally rely on citation metadata and count the number of times a publication has been cited.

31. Exploitation de données spatiales provenant d'articles scientifiques pour le suivi des maladies tropicales

Author

Marc Bertin, Tomi Kauppinen, Iana Atanassova, Centre interuniversitaire de recherche sur la science et la technologie (CIRST), Université du Québec à Montréal = University of Québec in Montréal (UQAM)-Université de Montréal (UdeM), Semantic Computing Research Group [Helsinki] (SeCo), TKK Helsinki University of Technology (TKK), Centre de recherche en linguistique et traitement automatique des langues, Lucien Tesnière - UFC (EA 2283) (TESNIERE), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Thomas Guyet, and Éric Kergosien

Subjects
Traitement Automatique du Langage Naturel, [SHS.INFO]Humanities and Social Sciences/Library and information sciences, Spatio-temporal Management and Analysis, Web des données, [SHS.GEO]Humanities and Social Sciences/Geography, Gestion et Analyse Spatio-temporelles, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, geocoding, Linked Data, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], géocodage, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, [SHS.LANGUE]Humanities and Social Sciences/Linguistics, PLOS, Natural Language Processing
Abstract

International audience; Nous nous intéressons à la représentation des informations géographiques extraites d'articles scientifiques. En utilisant des outils de Traitement Automatique des Langues et de géo-codage, nous avons traité la revue PLOS Neglected Tropical Diseases afin de produire des données spatiales liées aux articles sous forme de Linked Data. Les résultats montrent une exploitation spatiale et temporelle des données représentant les zones du monde concernées par les maladies tropicales à différentes échelles.

32. The Linguistic Context of Citations: a Cartography of the Structure of Scientific Papers

Author

Marc Bertin, Iana Atanassova, Vincent Larivière, Yves Gingras, Centre Interuniversitaire de Rercherche sur la Science et la Technologie (CIRST), Université du Québec à Montréal = University of Québec in Montréal (UQAM), Université de Montréal (UdeM), Centre interuniversitaire de recherche sur la science et la technologie (CIRST), American Association for the Advancement of Science (AAAS), and Bertin, Marc

Subjects
[SHS.HISPHILSO]Humanities and Social Sciences/History, Philosophy and Sociology of Sciences, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [SHS.HISPHILSO] Humanities and Social Sciences/History, Philosophy and Sociology of Sciences, [INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL], [SHS.INFO]Humanities and Social Sciences/Library and information sciences, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR], [SHS.LANGUE]Humanities and Social Sciences/Linguistics, [SHS.LANGUE] Humanities and Social Sciences/Linguistics, [SHS.INFO] Humanities and Social Sciences/Library and information sciences, ComputingMilieux_MISCELLANEOUS, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
Abstract

International audience

33. Weak links and strong meaning: The complex phenomenon of negational citations

Author

Marc Bertin, Iana Atanassova, Centre Interuniversitaire de Rercherche sur la Science et la Technologie (CIRST), Université du Québec à Montréal = University of Québec in Montréal (UQAM), Centre de recherche en linguistique et traitement automatique des langues, Lucien Tesnière - UFC (EA 2283) (TESNIERE), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Philipp Mayr, Ingo Frommholz, Guillaume Cabanac, and Bertin, Marc

Subjects
[SHS.INFO]Humanities and Social Sciences/Library and information sciences, [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing, Citation Context Analysis In-text Ref-erences, [SHS.LANGUE] Humanities and Social Sciences/Linguistics, [SHS.INFO] Humanities and Social Sciences/Library and information sciences, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL], Bibliometrics, Semantic Annotation, Negative Citations, [SHS.LANGUE]Humanities and Social Sciences/Linguistics, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), IMRaD
Abstract

International audience; The latest advances in research in the field of bibliometrics take into consideration in-text references. The purpose of this paper is to focus on citation contexts that express negational citations and which are relatively rare in articles. Our goal is to automate the extraction of negational citation contexts and to put them in relation to positions in the text progression of articles. After extracting sentences from the full text body of articles, we construct linguistic resources in order to identify some of the negational citation discursive patterns. We show the distribution of negational citations in the IMRaD structure. The identification of negational citations has numerous potential applications and might be used to improve information retrieval of scientific papers.

34. Fouille sémantique des thèses en ligne

Author

Jean-Pierre Desclés, Florence Le Priol, Motasem Alrahabi, Iana Atanassova, Marc Bertin, Langues, logiques, informatiques, cognition (LaLIC), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Centre de recherches interdisciplinaires et transculturelles - UFC (EA 3224) (CRIT), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Biskri Ismaïl, Jebali Adel, and Centre de recherches interdisciplinaires et transculturelles - UFC (UR 3224) (CRIT)

Subjects
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, INFORMATIQUE, Sciences cognitives appliquées à l'informatique, [SHS.INFO]Humanities and Social Sciences/Library and information sciences, INTELLIGENCE ARTIFICIELLE, sémantique, langage naturel, [SHS.LANGUE]Humanities and Social Sciences/Linguistics, linguistique, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
Abstract

International audience; Comment traiter les langues naturelles par des systèmes de performance autres que le cerveau humain ? L'ouvrage Traitement automatique des langues naturelles. De l'analyse à l'application, rassemble des contributions issues de plusieurs champs disciplinaires comme la linguistique, l'informatique, la philosophie et l'analyse du discours. Il expose deux aspects primordiaux de tout traitement automatique : l'analyse et l'application informatique. Les analyses présentées sont de nature philosophique ou linguistique. Certaines de ces analyses s'inscrivent dans le cadre de la théorie des actes du discours, d'autres dans le cadre de théories linguistiques formelles. Les applications informatiques, quant à elles, bien que basées sur des analyses pour la plupart linguistiques, démontrent que cet aspect du traitement automatique des langues naturelles est primordial pour tester la robustesse des modèles et le bien-fondé des analyses.

35. InTeReC: In-text reference corpus for applying natural language processing to bibliometrics

Author

Marc Bertin, Iana Atanassova, Equipe de recherche de Lyon en sciences de l'information et de la communication ( ELICO ), Université Lumière - Lyon 2 ( UL2 ) -Sciences Po Lyon - Institut d'études politiques de Lyon ( IEP Lyon ), Université de Lyon-Université de Lyon-Université Jean Moulin - Lyon III-Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-École Nationale Supérieure des Sciences de l'Information et des Bibliothèques - Lyon, Centre de recherches interdisciplinaires et transculturelles - UFC ( CRIT ), Université Bourgogne Franche-Comté ( UBFC ) -Université de Franche-Comté ( UFC ), Equipe de recherche de Lyon en sciences de l'information et de la communication (ELICO), Université Lumière - Lyon 2 (UL2)-École nationale supérieure des sciences de l'information et des bibliothèques (ENSSIB), Université de Lyon-Université de Lyon-Sciences Po Lyon - Institut d'études politiques de Lyon (IEP Lyon), Université de Lyon-Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Centre de recherches interdisciplinaires et transculturelles - UFC (EA 3224) (CRIT), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Sciences Po Lyon - Institut d'études politiques de Lyon (IEP Lyon), Université de Lyon-Université de Lyon-École nationale supérieure des sciences de l'information et des bibliothèques (ENSSIB), Université de Lyon-Université Lumière - Lyon 2 (UL2), and Centre de recherches interdisciplinaires et transculturelles - UFC (UR 3224) (CRIT)

Subjects
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [ INFO.INFO-TT ] Computer Science [cs]/Document and Text Processing, [ INFO.INFO-CL ] Computer Science [cs]/Computation and Language [cs.CL], [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
Abstract

International audience; Bibliometrics is more and more interested in the full text processing and the study of the structure of scientific papers. The contexts of in-text references present in articles are particularly relevant for such studies. This work describes the construction of the InTeReC dataset, which is an in-text reference corpus that aims to promote experimental reproducibility and to provide a standard dataset for further research. The InTeReC dataset is a set of sentences containing in-text references together with all the data necessary for their recontextualization in papers using standard CSV format. This should encourage the implementation of natural language processing tools for Bibliometric studies and related research in information retrieval and visualization.

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