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247 results on '"Fersini, Elisabetta"'

1. A gentle push funziona benissimo: making instructed models in Italian via contrastive activation steering

Author

Scalena, Daniel, Fersini, Elisabetta, and Nissim, Malvina

Subjects
Computer Science - Computation and Language, Computer Science - Machine Learning
Abstract

Adapting models to a language that was only partially present in the pre-training data requires fine-tuning, which is expensive in terms of both data and computational resources. As an alternative to fine-tuning, we explore the potential of activation steering-based techniques to enhance model performance on Italian tasks. Through our experiments we show that Italian steering (i) can be successfully applied to different models, (ii) achieves performances comparable to, or even better than, fine-tuned models for Italian, and (iii) yields higher quality and consistency in Italian generations. We also discuss the utility of steering and fine-tuning in the contemporary LLM landscape where models are anyway getting high Italian performances even if not explicitly trained in this language.

Published
2024

2. Let the Models Respond: Interpreting Language Model Detoxification Through the Lens of Prompt Dependence

Author

Scalena, Daniel, Sarti, Gabriele, Nissim, Malvina, and Fersini, Elisabetta

Subjects
Computer Science - Computation and Language
Abstract

Due to language models' propensity to generate toxic or hateful responses, several techniques were developed to align model generations with users' preferences. Despite the effectiveness of such methods in improving the safety of model interactions, their impact on models' internal processes is still poorly understood. In this work, we apply popular detoxification approaches to several language models and quantify their impact on the resulting models' prompt dependence using feature attribution methods. We evaluate the effectiveness of counter-narrative fine-tuning and compare it with reinforcement learning-driven detoxification, observing differences in prompt reliance between the two methods despite their similar detoxification performances., Comment: 4 pages

Published
2023

3. AI-UPV at EXIST 2023 -- Sexism Characterization Using Large Language Models Under The Learning with Disagreements Regime

Author

de Paula, Angel Felipe Magnossão, Rizzi, Giulia, Fersini, Elisabetta, and Spina, Damiano

Subjects
Computer Science - Computation and Language, Computer Science - Computers and Society, Computer Science - Machine Learning
Abstract

With the increasing influence of social media platforms, it has become crucial to develop automated systems capable of detecting instances of sexism and other disrespectful and hateful behaviors to promote a more inclusive and respectful online environment. Nevertheless, these tasks are considerably challenging considering different hate categories and the author's intentions, especially under the learning with disagreements regime. This paper describes AI-UPV team's participation in the EXIST (sEXism Identification in Social neTworks) Lab at CLEF 2023. The proposed approach aims at addressing the task of sexism identification and characterization under the learning with disagreements paradigm by training directly from the data with disagreements, without using any aggregated label. Yet, performances considering both soft and hard evaluations are reported. The proposed system uses large language models (i.e., mBERT and XLM-RoBERTa) and ensemble strategies for sexism identification and classification in English and Spanish. In particular, our system is articulated in three different pipelines. The ensemble approach outperformed the individual large language models obtaining the best performances both adopting a soft and a hard label evaluation. This work describes the participation in all the three EXIST tasks, considering a soft evaluation, it obtained fourth place in Task 2 at EXIST and first place in Task 3, with the highest ICM-Soft of -2.32 and a normalized ICM-Soft of 0.79. The source code of our approaches is publicly available at https://github.com/AngelFelipeMP/Sexism-LLM-Learning-With-Disagreement., Comment: 15 pages, 9 tables, 1 figures, conference

Published
2023

4. Unraveling Disagreement Constituents in Hateful Speech

Author

Rizzi, Giulia, Astorino, Alessandro, Rosso, Paolo, Fersini, Elisabetta, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Goharian, Nazli, editor, Tonellotto, Nicola, editor, He, Yulan, editor, Lipani, Aldo, editor, McDonald, Graham, editor, Macdonald, Craig, editor, and Ounis, Iadh, editor

Published
2024
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5. One Configuration to Rule Them All? Towards Hyperparameter Transfer in Topic Models using Multi-Objective Bayesian Optimization

Author

Terragni, Silvia, Harrando, Ismail, Lisena, Pasquale, Troncy, Raphael, and Fersini, Elisabetta

Subjects
Computer Science - Computation and Language
Abstract

Topic models are statistical methods that extract underlying topics from document collections. When performing topic modeling, a user usually desires topics that are coherent, diverse between each other, and that constitute good document representations for downstream tasks (e.g. document classification). In this paper, we conduct a multi-objective hyperparameter optimization of three well-known topic models. The obtained results reveal the conflicting nature of different objectives and that the training corpus characteristics are crucial for the hyperparameter selection, suggesting that it is possible to transfer the optimal hyperparameter configurations between datasets., Comment: 17 pages, 7 figures

Published
2022

7. Benchmark dataset of memes with text transcriptions for automatic detection of multi-modal misogynistic content

Author

Gasparini, Francesca, Rizzi, Giulia, Saibene, Aurora, and Fersini, Elisabetta

Subjects
Computer Science - Artificial Intelligence
Abstract

In this paper we present a benchmark dataset generated as part of a project for automatic identification of misogyny within online content, which focuses in particular on memes. The benchmark here described is composed of 800 memes collected from the most popular social media platforms, such as Facebook, Twitter, Instagram and Reddit, and consulting websites dedicated to collection and creation of memes. To gather misogynistic memes, specific keywords that refer to misogynistic content have been considered as search criterion, considering different manifestations of hatred against women, such as body shaming, stereotyping, objectification and violence. In parallel, memes with no misogynist content have been manually downloaded from the same web sources. Among all the collected memes, three domain experts have selected a dataset of 800 memes equally balanced between misogynistic and non-misogynistic ones. This dataset has been validated through a crowdsourcing platform, involving 60 subjects for the labelling process, in order to collect three evaluations for each instance. Two further binary labels have been collected from both the experts and the crowdsourcing platform, for memes evaluated as misogynistic, concerning aggressiveness and irony. Finally for each meme, the text has been manually transcribed. The dataset provided is thus composed of the 800 memes, the labels given by the experts and those obtained by the crowdsourcing validation, and the transcribed texts. This data can be used to approach the problem of automatic detection of misogynistic content on the Web relying on both textual and visual cues, facing phenomenons that are growing every day such as cybersexism and technology-facilitated violence.

Published
2021
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8. Cross-Domain and Cross-Language Irony Detection: The Impact of Bias on Models’ Generalization

Author

Ortega-Bueno, Reynier, Rosso, Paolo, Fersini, Elisabetta, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Métais, Elisabeth, editor, Meziane, Farid, editor, Sugumaran, Vijayan, editor, Manning, Warren, editor, and Reiff-Marganiec, Stephan, editor

Published
2023
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9. Cross-lingual Contextualized Topic Models with Zero-shot Learning

Author

Bianchi, Federico, Terragni, Silvia, Hovy, Dirk, Nozza, Debora, and Fersini, Elisabetta

Subjects
Computer Science - Computation and Language
Abstract

Many data sets (e.g., reviews, forums, news, etc.) exist parallelly in multiple languages. They all cover the same content, but the linguistic differences make it impossible to use traditional, bag-of-word-based topic models. Models have to be either single-language or suffer from a huge, but extremely sparse vocabulary. Both issues can be addressed by transfer learning. In this paper, we introduce a zero-shot cross-lingual topic model. Our model learns topics on one language (here, English), and predicts them for unseen documents in different languages (here, Italian, French, German, and Portuguese). We evaluate the quality of the topic predictions for the same document in different languages. Our results show that the transferred topics are coherent and stable across languages, which suggests exciting future research directions., Comment: Updated version. Published as a conference paper at EACL2021

Published
2020

12. Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, and Style Change Detection

Author

Bevendorff, Janek, Chulvi, Berta, Fersini, Elisabetta, Heini, Annina, Kestemont, Mike, Kredens, Krzysztof, Mayerl, Maximilian, Ortega-Bueno, Reynier, Pęzik, Piotr, Potthast, Martin, Rangel, Francisco, Rosso, Paolo, Stamatatos, Efstathios, Stein, Benno, Wiegmann, Matti, Wolska, Magdalena, Zangerle, Eva, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Barrón-Cedeño, Alberto, editor, Da San Martino, Giovanni, editor, Degli Esposti, Mirko, editor, Sebastiani, Fabrizio, editor, Macdonald, Craig, editor, Pasi, Gabriella, editor, Hanbury, Allan, editor, Potthast, Martin, editor, Faggioli, Guglielmo, editor, and Ferro, Nicola, editor

Published
2022
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13. Deep Attributed Graph Embeddings

Author

Fersini, Elisabetta, Mottadelli, Simone, Carbonera, Michele, Messina, Enza, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Torra, Vicenç, editor, and Narukawa, Yasuo, editor

Published
2022
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14. Misogynous MEME Recognition: A Preliminary Study

Author

Fersini, Elisabetta, Rizzi, Giulia, Saibene, Aurora, Gasparini, Francesca, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Bandini, Stefania, editor, Gasparini, Francesca, editor, Mascardi, Viviana, editor, Palmonari, Matteo, editor, and Vizzari, Giuseppe, editor

Published
2022
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15. Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, Style Change Detection, and Trigger Detection : Extended Abstract

Author

Bevendorff, Janek, Chulvi, Berta, Fersini, Elisabetta, Heini, Annina, Kestemont, Mike, Kredens, Krzysztof, Mayerl, Maximilian, Ortega-Bueno, Reyner, Pęzik, Piotr, Potthast, Martin, Rangel, Francisco, Rosso, Paolo, Stamatatos, Efstathios, Stein, Benno, Wiegmann, Matti, Wolska, Magdalena, Zangerle, Eva, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Hagen, Matthias, editor, Verberne, Suzan, editor, Macdonald, Craig, editor, Seifert, Christin, editor, Balog, Krisztian, editor, Nørvåg, Kjetil, editor, and Setty, Vinay, editor

Published
2022
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16. Smart Tourism System in Calabria

Author

De Maio, Annarita, Ferone, Daniele, Fersini, Elisabetta, Messina, Enza, Santoro, Francesco, Violi, Antonio, Gaul, Wolfgang, Managing Editor, Vichi, Maurizio, Managing Editor, Weihs, Claus, Managing Editor, Baier, Daniel, Editorial Board Member, Critchley, Frank, Editorial Board Member, Decker, Reinhold, Editorial Board Member, Diday, Edwin, Editorial Board Member, Greenacre, Michael, Editorial Board Member, Lauro, Carlo Natale, Editorial Board Member, Meulman, Jacqueline, Editorial Board Member, Monari, Paola, Editorial Board Member, Nishisato, Shizuhiko, Editorial Board Member, Ohsumi, Noboru, Editorial Board Member, Opitz, Otto, Editorial Board Member, Ritter, Gunter, Editorial Board Member, Schader, Martin, Editorial Board Member, Mariani, Paolo, editor, and Zenga, Mariangela, editor

Published
2021
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17. Word Embedding-Based Topic Similarity Measures

Author

Terragni, Silvia, Fersini, Elisabetta, Messina, Enza, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Métais, Elisabeth, editor, Meziane, Farid, editor, Horacek, Helmut, editor, and Kapetanios, Epaminondas, editor

Published
2021
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18. On the Generalization of Figurative Language Detection: The Case of Irony and Sarcasm

Author

Famiglini, Lorenzo, Fersini, Elisabetta, Rosso, Paolo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Métais, Elisabeth, editor, Meziane, Farid, editor, Horacek, Helmut, editor, and Kapetanios, Epaminondas, editor

Published
2021
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19. Relational Bayesian Model Averaging for Sentiment Analysis in Social Networks

Author

Baldi, Mauro Maria, Fersini, Elisabetta, Messina, Enza, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nicosia, Giuseppe, editor, Ojha, Varun, editor, La Malfa, Emanuele, editor, Jansen, Giorgio, editor, Sciacca, Vincenzo, editor, Pardalos, Panos, editor, Giuffrida, Giovanni, editor, and Umeton, Renato, editor

Published
2020
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25. Soft metrics for evaluation with disagreements: an assessment

Author

Rizzi, Giulia, Leonardelli, Elisa, Poesio, Massimo, Uma, Alexandra, Pavlovic, Maja, Paun, Silviu, Rosso, Paolo, Fersini, Elisabetta, Rizzi, Giulia, Leonardelli, Elisa, Poesio, Massimo, Uma, Alexandra, Pavlovic, Maja, Paun, Silviu, Rosso, Paolo, and Fersini, Elisabetta

Abstract

The move towards preserving judgement disagreements in NLP requires the identification of adequate evaluation metrics. We identify a set of key properties that such metrics should have, and assess the extent to which natural candidates for soft evaluation such as Cross Entropy satisfy such properties. We employ a theoretical framework, supported by a visual approach, by practical examples, and by the analysis of a real case scenario. Our results indicate that Cross Entropy can result in fairly paradoxical results in some cases, whereas other measures Manhattan distance and Euclidean distance exhibit a more intuitive behavior, at least for the case of binary classification.

Published
2024

26. Approximate Reasoning with Order-Sorted Feature Logic

Author

Milanese, G, FERSINI, ELISABETTA, PASI, GABRIELLA, MILANESE, GIAN CARLO, Milanese, G, FERSINI, ELISABETTA, PASI, GABRIELLA, and MILANESE, GIAN CARLO

Abstract

La logica Order-Sorted Feature (OSF) è un linguaggio di rappresentazione della conoscenza nato dal lavoro di ricerca di Hassan Aït-Kaci su un sistema logico per modellare le nozioni di sussunzione e unificazione nei formalismi basati sull'ereditarietà. La logica OSF è stata applicata alla linguistica computazionale e implementata in linguaggi di constraint logic programming e ragionatori automatici. Il linguaggio della logica OSF si basa su funzioni (attributi, o features), e su tipi (concetti, o sorts) ordinati in una relazione di sussunzione. In questa logica il ragionamento è fondato sull'unificazione di strutture chiamate termini OSF, un processo che mira a combinare i vincoli espressi da due termini OSF in un unico termine. Un vantaggio della logica OSF è che il suo algoritmo di unificazione tiene conto dell'ordinamento di sussunzione tra i tipi, che può consentire a una singola unificazione di sostituire diversi passi di inferenza, portando a calcoli più efficienti. Questa tesi si occupa dello sviluppo teorico del ragionamento approssimato con la logica OSF. Il primo contributo della tesi è la definizione della logica OSF fuzzy, una generalizzazione fuzzy della semantica della logica OSF in cui i tipi denotano insiemi fuzzy, consentendo di rappresentare concetti vaghi. Inoltre, i tipi della logica OSF fuzzy sono ordinati in una relazione di sussunzione fuzzy, fornendo maggiore flessibilità nella modellazione. La relazione di sussunzione fuzzy viene dotata di una semantica che generalizza la definizione di inclusione degli insiemi fuzzy di Zadeh. In questo lavoro indaghiamo se diverse proprietà semantiche e computazionali della logica OSF siano preservate nel contesto fuzzy. Dimostriamo, per esempio, che i termini OSF sono ordinati in un reticolo di sussunzione fuzzy che estende l'ordinamento fuzzy tra i tipi, e dimostriamo che l'unificazione di due termini OSF produce il loro estremo inferiore. Definiamo anche procedure per calcolare il grado di sus, Order-Sorted Feature (OSF) logic is a Knowledge Representation and Reasoning (KRR) language originating in Hassan Aït-Kaci's work on designing a calculus of partially ordered type structures. The language was developed to model the notions of subsumption and unification in inheritance-based KRR formalisms, and it has been applied in computational linguistics and implemented in constraint logic programming languages and automated reasoners. The language of OSF logic is based on function-denoting feature symbols and on set-denoting sort symbols ordered in a subsumption (is-a) lattice. Reasoning with OSF logic relies on the unification of set-denoting structures called OSF terms, a process that aims to combine the constraints expressed by two OSF terms into a single term. An advantage of OSF logic is that its unification algorithm takes into account the subsumption ordering between sorts, which may enable a single unification step to replace several inference steps, leading to more efficient computations. This thesis deals with the theoretical development of approximate reasoning within the framework of OSF logic. The first key contribution of the thesis is the definition of fuzzy OSF logic, a fuzzy generalization of the semantics of OSF logic where sorts denote fuzzy sets rather than crisp sets, allowing to represent vague concepts. Moreover, the sorts of fuzzy OSF logic are ordered in a fuzzy subsumption relation (formally a fuzzy lattice) rather than a crisp one, which provides more modeling flexibility by allowing to represent graded subsumption relations. The fuzzy sort subsumption relation is given a special semantics which generalizes Zadeh's definition of inclusion of fuzzy sets. We investigate whether several semantic and computational properties of crisp OSF logic are preserved in the fuzzy setting. For instance, we show that OSF terms are ordered in a fuzzy subsumption relation which extends the fuzzy ordering between sorts, and we prove that the unificatio

Published
2024

27. Exploring Neural Topic Modeling on a Classical Latin Corpus

Author

Calzolari, Nicoletta, Kan, Min-Yen, Hoste, Veronique, Lenci, Alessandro, Sakti, Sakriani, Xue, Nianwen, Martinelli, Ginevra, Impicciché, Paola, Fersini, Elisabetta, Mambrini, Francesco, Passarotti, Marco Carlo, Mambrini Francesco (ORCID:0000-0003-0834-7562), Passarotti Marco (ORCID:0000-0002-9806-7187), Calzolari, Nicoletta, Kan, Min-Yen, Hoste, Veronique, Lenci, Alessandro, Sakti, Sakriani, Xue, Nianwen, Martinelli, Ginevra, Impicciché, Paola, Fersini, Elisabetta, Mambrini, Francesco, Passarotti, Marco Carlo, Mambrini Francesco (ORCID:0000-0003-0834-7562), and Passarotti Marco (ORCID:0000-0002-9806-7187)

Abstract

The large availability of processable textual resources for Classical Latin has made it possible to study Latin literature through methods and tools that support distant reading. This paper describes a number of experiments carried out to test the possibility of investigating the thematic distribution of the Classical Latin corpus Opera Latina by means of topic modeling. For this purpose, we train, optimize and compare two neural models, Product-of-Experts LDA (ProdLDA) and Embedded Topic Model (ETM), opportunely revised to deal with the textual data from a Classical Latin corpus, to evaluate which one performs better both on the basis of topic diversity and topic coherence metrics, and from a human judgment point of view. Our results show that the topics extracted by neural models are coherent and interpretable and that they are significant from the perspective of a Latin scholar. The source code of the proposed model is available at https://github.com/MIND-Lab/LatinProdLDA.

Published
2024

28. Word Embeddings for Unsupervised Named Entity Linking

Author

Nozza, Debora, Sas, Cezar, Fersini, Elisabetta, Messina, Enza, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Douligeris, Christos, editor, Karagiannis, Dimitris, editor, and Apostolou, Dimitris, editor

Published
2019
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31. Named entity recognition using conditional random fields with non-local relational constraints

Author

Cecchini, Flavio Massimiliano and Fersini, Elisabetta

Subjects
Computer Science - Computation and Language
Abstract

We begin by introducing the Computer Science branch of Natural Language Processing, then narrowing the attention on its subbranch of Information Extraction and particularly on Named Entity Recognition, discussing briefly its main methodological approaches. It follows an introduction to state-of-the-art Conditional Random Fields under the form of linear chains. Subsequently, the idea of constrained inference as a way to model long-distance relationships in a text is presented, based on an Integer Linear Programming representation of the problem. Adding such relationships to the problem as automatically inferred logical formulas, translatable into linear conditions, we propose to solve the resulting more complex problem with the aid of Lagrangian relaxation, of which some technical details are explained. Lastly, we give some experimental results.

Published
2013

32. Adapting Named Entity Types to New Ontologies in a Microblogging Environment

Author

Fersini, Elisabetta, Manchanda, Pikakshi, Messina, Enza, Nozza, Debora, Palmonari, Matteo, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Mouhoub, Malek, editor, Sadaoui, Samira, editor, Ait Mohamed, Otmane, editor, and Ali, Moonis, editor

Published
2018
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33. Automatic Identification and Classification of Misogynistic Language on Twitter

Author

Anzovino, Maria, Fersini, Elisabetta, Rosso, Paolo, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Silberztein, Max, editor, Atigui, Faten, editor, Kornyshova, Elena, editor, Métais, Elisabeth, editor, and Meziane, Farid, editor

Published
2018
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37. Smart Tourism System in Calabria

Author

De Maio, Annarita, primary, Ferone, Daniele, additional, Fersini, Elisabetta, additional, Messina, Enza, additional, Santoro, Francesco, additional, and Violi, Antonio, additional

Published
2020
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40. Actively Learning to Rank Semantic Associations for Personalized Contextual Exploration of Knowledge Graphs

Author

Bianchi, Federico, Palmonari, Matteo, Cremaschi, Marco, Fersini, Elisabetta, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Blomqvist, Eva, editor, Maynard, Diana, editor, Gangemi, Aldo, editor, Hoekstra, Rinke, editor, Hitzler, Pascal, editor, and Hartig, Olaf, editor

Published
2017
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43. Proceedings of the Eighth Italian Conference on Computational Linguistics CliC-it 2021

Author

Achena, Flavia, Aggarwal, Akshay, Albanesi, Davide, Albertin, Giorgia, Alzetta, Chiara, Anselma, Luca, Aparaschivei, Lavinia, Archetti, Francesco, Barattieri di San Pietro, Chiara, Barrón-Cedeño, Alberto, Basile, Pierpaolo, Basile, Valerio, Basili, Roberto, Bellandi, Andrea, Bosco, Cristina, Bosque-Gil, Julia, Brunato, Dominique, Brutti, Alessio, Budeanu, Ancuta, Cabrio, Elena, Canazza, Sergio, Candelieri, Antonio, Caselli, Tommaso, Casola, Silvia, Cassotti, Pierluigi, Cattoni, Roldano, Cecchini, Flavio Massimiliano, Celli, Fabio, Cerulli, Aldo, Cettolo, Mauro, Chesi, Cristiano, Cignarella, Alessandra Teresa, Cimiano, Philipp, Cimino, Andrea, Colella, Annalisa, Croce, Danilo, Cutugno, Francesco, Dall’Acqua, Anna, Dangelo, Paolo, Dei Rossi, Stefano, Dell’Orletta, Felice, Demartini, Silvia, De Gemmis, Marco, De Mattei, Lorenzo, Dini, Irene, Di Bratto, Martina, di Buono, Maria Pia, Di Caro, Luigi, Di Liello, Luca, Di Maro, Maria, Dufaux, Alain, Duzha, Armend, Elahi, Mohammad Fazleh, Ell, Basil, Ernandes, Marco, Fabrizi, Samuel, Fallucchi, Francesca, Fantoli, Margherita, Fernández, Raquel, Ferrari, Pier Luigi, Ferrero, Dario, Ferri, Fabio, Fersini, Elisabetta, Florio, Komal, Flouris, Giorgos, Frenda, Simona, Frey, Jennifer-Carmen, Gattero, Valerio, Gemelli, Sara, Gemmis, Marco de, Giovannetti, Emiliano, Gismondi, Biancamaria, Grasso, Francesca, Grotto, Francesco, Iacono, Maria, Iovine, Andrea, Jansen, Lennert, Jezek, Elisabetta, Kaplan, Frédéric, Labruna, Tiziano, Lai, Mirko, Lavelli, Alberto, Lenci, Alessandro, Litta, Eleonora, Lombardi, Agnese, Lops, Pasquale, Louvan, Samuel, Luzietti, Roberta Bianca, Maffia, Marta, Magnini, Bernardo, Mahed Mousavi, Seyed, Mambrini, Francesco, Marchi, Simone, Marelli, Marco, Marra, Andrea, Martino, Maria De, Marziano, Giuseppe, Masini, Francesca, Mastromattei, Michele, Mattiola, Simone, Mazzei, Alessandro, Messina, Enza, Miaschi, Alessio, Minnema, Gosse, Montemagni, Simonetta, Moretti, Giovanni, Moschitti, Alessandro, Negri, Matteo, Negro, Roberto, Nicolas, Lionel, Nissim, Malvina, Nolano, Gennaro, Ògúnrẹ̀mí, Tolúlọpẹ, Onorati, Dario, Origlia, Antonio, Orrico, Riccardo, Paccosi, Teresa, Palmero Aprosio, Alessio, Papadakos, Panagiotis, Papantoniou, Katerina, Papi, Sara, Papini, Mafalda, Passaro, Lucia C., Passarotti, Marco, Patti, Viviana, Pezzelle, Sandro, Plank, Barbara, Plexousakis, Dimitris, Pretto, Niccolò, Puccinelli, Daniele, Ranaldi, Leonardo, Ravelli, Andrea Amelio, Reverberi, Carlo, Riccardi, Giuseppe, Rocchietti, Guido, Romani, Emma, Rosato, Luca, Rossi, Laura, Roth, Dan, Ruffolo, Paolo, Ruzzetti, Elena Sofia, Sabri, Nazanin, Salaris, Sara, Sanguinetti, Manuela, Schettino, Loredana, Schmalz, Veronica Juliana, Sciolette, Flavia, Semeraro, Giovanni, Siciliani, Lucia, Simi, Maria, Sinclair, Arabella, Sprugnoli, Rachele, Stemle, Egon W., Stranisci, Marco Antonio, Tamburini, Fabio, Terragni, Silvia, Tesei, Andrea, Tonelli, Sara, Tripodi, Rocco, Turchi, Marco, Uryupina, Olga, van der Goot, Margot J., Ventura, Viviana, Venturi, Giulia, Villata, Serena, Vorakitphan, Vorakit, Zanchi, Chiara, Zanzotto, Fabio Massimo, Zeman, Daniel, Zugarini, Andrea, Fersini, Elisabetta, Passarotti, Marco, and Patti, Viviana

Subjects
Computational Linguistics, linguistica, linguistique computationelle, Linguistics, LAN009000, CF, linguistica computazionale, linguistique, Language
Abstract

The eighth edition of the Italian Conference on Computational Linguistics (CLiC-it 2021) was held at Università degli Studi di Milano-Bicocca from 26th to 28th January 2022. After the edition of 2020, which was held in fully virtual mode due to the health emergency related to Covid-19, CLiC-it 2021 represented the first moment for the Italian research community of Computational Linguistics to meet in person after more than one year of full/partial lockdown.

Published
2022

46. Safe Optimal Control of Dynamic Systems: Learning from Experts and Safely Exploring New Policies.

Author

Candelieri, Antonio, Ponti, Andrea, Fersini, Elisabetta, Messina, Enza, and Archetti, Francesco

Subjects
DYNAMICAL systems, KRIGING, GAUSSIAN processes, REINFORCEMENT learning, DIGITAL twins, STATISTICAL learning, SYSTEM dynamics
Abstract

Many real-life systems are usually controlled through policies replicating experts' knowledge, typically favouring "safety" at the expense of optimality. Indeed, these control policies are usually aimed at avoiding a system's disruptions or deviations from a target behaviour, leading to suboptimal performances. This paper proposes a statistical learning approach to exploit the historical safe experience—collected through the application of a safe control policy based on experts' knowledge— to "safely explore" new and more efficient policies. The basic idea is that performances can be improved by facing a reasonable and quantifiable risk in terms of safety. The proposed approach relies on Gaussian Process regression to obtain a probabilistic model of both a system's dynamics and performances, depending on the historical safe experience. The new policy consists of solving a constrained optimization problem, with two Gaussian Processes modelling, respectively, the safety constraints and the performance metric (i.e., objective function). As a probabilistic model, Gaussian Process regression provides an estimate of the target variable and the associated uncertainty; this property is crucial for dealing with uncertainty while new policies are safely explored. Another important benefit is that the proposed approach does not require any implementation of an expensive digital twin of the original system. Results on two real-life systems are presented, empirically proving the ability of the approach to improve performances with respect to the initial safe policy without significantly affecting safety. [ABSTRACT FROM AUTHOR]

Published
2023
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48. Bayesian Model Averaging and Model Selection for Polarity Classification

Author

Pozzi, Federico Alberto, Fersini, Elisabetta, Messina, Enza, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Métais, Elisabeth, editor, Meziane, Farid, editor, Saraee, Mohamad, editor, Sugumaran, Vijayan, editor, and Vadera, Sunil, editor

Published
2013
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49. Named Entities in Judicial Transcriptions: Extended Conditional Random Fields

Author

Fersini, Elisabetta, Messina, Enza, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, and Gelbukh, Alexander, editor

Published
2013
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50. Enhance User-Level Sentiment Analysis on Microblogs with Approval Relations

Author

Pozzi, Federico Alberto, Maccagnola, Daniele, Fersini, Elisabetta, Messina, Enza, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Baldoni, Matteo, editor, Baroglio, Cristina, editor, Boella, Guido, editor, and Micalizio, Roberto, editor

Published
2013
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