Search

Your search keyword '"Hovy, Eduard"' showing total 1,043 results
Start Over Author "Hovy, Eduard"

Refine your results

more »

more »

more »

more »
1,043 results on '"Hovy, Eduard"'

153. How To Select An Answer String?

Author

Echihabi, Abdessamad, Hermjakob, Ulf, Hovy, Eduard, Marcu, Daniel, Melz, Eric, Ravichandran, Deepak, Véronis, Jean, editor, Ide, Nancy, editor, Strzalkowski, Tomek, editor, and Harabagiu, Sanda M., editor

Published
2008
Full Text
View/download PDF

154. The Dynamic Web Presentations with a Generality Model on the News Domain

Author

Shin, Hyun Woong, Hovy, Eduard, McLeod, Dennis, 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, Geffert, Viliam, editor, Karhumäki, Juhani, editor, Bertoni, Alberto, editor, Preneel, Bart, editor, Návrat, Pavol, editor, and Bieliková, Mária, editor

Published
2008
Full Text
View/download PDF

156. Learning by Reading: An Experiment in Text Analysis

Author

Hovy, Eduard, 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, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Sojka, Petr, editor, Kopeček, Ivan, editor, and Pala, Karel, editor

Published
2006
Full Text
View/download PDF

157. Integrating Semantic Frames from Multiple Sources

Author

Kwon, Namhee, Hovy, Eduard, 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, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, and Gelbukh, Alexander, editor

Published
2006
Full Text
View/download PDF

158. Methodologies for the Reliable Construction of Ontological Knowledge

Author

Hovy, Eduard, 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, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Dau, Frithjof, editor, Mugnier, Marie-Laure, editor, and Stumme, Gerd, editor

Published
2005
Full Text
View/download PDF

161. Interlingual Annotation for MT Development

Author

Reeder, Florence, Dorr, Bonnie, Farwell, David, Habash, Nizar, Helmreich, Stephen, Hovy, Eduard, Levin, Lori, Mitamura, Teruko, Miller, Keith, Rambow, Owen, Siddharthan, Advaith, 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, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Frederking, Robert E., editor, and Taylor, Kathryn B., editor

Published
2004
Full Text
View/download PDF

164. Data Integration and Access : The Digital Government Research Center’s Energy Data Collection (EDC) Project

Author

Ambite, José Luis, Arens, Yigal, Bourne, Walter, Feiner, Steve, Gravano, Luis, Hatzivassiloglou, Vasileios, Hovy, Eduard, Klavans, Judith, Philpot, Andrew, Ramachandran, Usha, Ross, Kenneth A., Sandhaus, Jay, Sarioz, Deniz, Schmidt, Rolfe R., Shahabi, Cyrus, Singla, Anurag, Temiyabutr, Surabhan, Whitman, Brian, Zaman, Kazi, Elmagarmid, Ahmed K., editor, and McIver, William J., Jr., editor

Published
2002
Full Text
View/download PDF

167. Aggregation in natural language generation

Author

Dalianis, Hercules, Hovy, Eduard, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Goos, G., editor, Hartmanis, J., editor, van Leeuwen, J., editor, Adorni, Giovanni, editor, and Zock, Michael, editor

Published
1996
Full Text
View/download PDF

176. A Narratology-Based Framework for Storyline Extraction

Author

Vossen, Piek, Caselli, Tommaso, Segers, R, Hovy, Eduard, Palmer, Martha, and Computational Linguistics (CL)

Subjects
narrative, storylines, event extraction, ComputingMilieux_PERSONALCOMPUTING
Abstract

Stories are a pervasive phenomenon of human life. They also represent a cognitive tool to understand and make sense of the world and of its happenings. In this contribution we describe a narratology-based framework for modeling stories as a combination of different data structures and to automatically extract them from news articles. We introduce a distinction among three data structures (timelines, causelines, and storylines) that capture different narratological dimensions, respectively chronological ordering, causal connections, and plot structure. We developed the Circumstantial Event Ontology (CEO) for modeling (implicit) circumstantial relations as well as explicit causal relations and create two benchmark corpora: ECB+/CEO, for causelines, and the Event Storyline Corpus (ESC), for storylines. To test our framework and the difficulty in automatically extract causelines and storylines, we develop a series of reasonable baseline systems

Published
2021

177. A Framework for Task-Sensitive Natural Language Augmentation.

Author

Dhole, Kaustubh D., Gangal, Varun, Gehrmann, Sebastian, Gupta, Aadesh, Zhenhao Li, Mahamood, Saad, Mahendiran, Abinaya, Mille, Simon, Shrivastava, Ashish, Tan, Samson, Tongshuang Wu, Sohl-Dickstein, Jascha, Choi, Jinho D., Hovy, Eduard, Dusek, Ondrej, Ruder, Sebastian, Anand, Sajant, Aneja, Nagender, Banjade, Rabin, and Barthe, Lisa

Subjects
DATA mining, NATURAL language processing, SOCIOLINGUISTICS, SYNTAX in programming languages, LANGUAGE models, ROBUST control
Abstract

Data augmentation is an important method for evaluating the robustness of and enhancing the diversity of training data for natural language processing (NLP) models. In this paper, we present NL-Augmenter, a new participatory Python-based natural language (NL) augmentation framework which supports the creation of transformations (modifications to the data) and filters (data splits according to specific features). We describe the framework and an initial set of 117 transformations and 23 filters for a variety of NL tasks annotated with noisy descriptive tags. The transformations incorporate noise, intentional and accidental human mistakes, socio-linguistic variation, semantically-valid style, syntax changes, as well as artificial constructs that are unambiguous to humans. We demonstrate the effiicacy of NL-Augmenter by using its transformations to analyze the robustness of popular language models. We find different models to be differently challenged on different tasks, with quasi-systematic score decreases. The infrastructure, datacards, and robustness evaluation results are publicly available on GitHub for the benefit of researchers working on paraphrase generation, robustness analysis, and low-resource NLP. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

187. Foreword

Author

Hovy, Eduard

Published
1998

188. The role of knowledge in determining identity of long-tail entities

Author

Ilievski, Filip, Hovy, Eduard, Vossen, Piek, Schlobach, Stefan, Xie, Qizhe, Ilievski, Filip, Hovy, Eduard, Vossen, Piek, Schlobach, Stefan, and Xie, Qizhe

Abstract

The NIL entities do not have an accessible representation, which means that their identity cannot be established through traditional disambiguation. Consequently, they have received little attention in entity linking systems and tasks so far. Given the non-redundancy of knowledge on NIL entities, the lack of frequency priors, their potentially extreme ambiguity, and numerousness, they form an extreme class of long-tail entities and pose a great challenge for state-of-the-art systems. In this paper, we investigate the role of knowledge when establishing the identity of NIL entities mentioned in text. What kind of knowledge can be applied to establish the identity of NILs? Can we potentially link to them at a later point? How to capture implicit knowledge and fill knowledge gaps in communication? We formulate and test hypotheses to provide insights to these questions. Due to the unavailability of instance-level knowledge, we propose to enrich the locally extracted information with profiling models that rely on background knowledge in Wikidata. We describe and implement two profiling machines based on state-of-the-art neural models. We evaluate their intrinsic behavior and their impact on the task of determining identity of NIL entities.

Published
2020
Full Text
View/download PDF

190. Estimating Violation Risk for Fisheries Regulations

Author

Chalupsky, Hans, primary, DeMarco, Robert, additional, Hovy, Eduard H., additional, Kantor, Paul B., additional, Matlin, Alisa, additional, Mitra, Priyam, additional, Ozbas, Birnur, additional, Roberts, Fred S., additional, Wojtowicz, James, additional, and Xie, Minge, additional

Published
2013
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results