Abstract
Our system combines text similarity measures with a textual entailment system. In the main task, we focused on the influence of lexicalized versus unlexicalized features, and how they affect performance on unseen questions and domains. We also participated in the pilot partial entailment task, where our system significantly outperforms a strong baseline.
Original language | English |
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Title of host publication | *SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 285-289 |
Number of pages | 5 |
ISBN (Electronic) | 9781937284497 |
State | Published - 2013 |
Event | 2nd Joint Conference on Lexical and Computational Semantics, *SEM 2013 - Atlanta, United States Duration: 13 Jun 2013 → 14 Jun 2013 |
Publication series
Name | *SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics |
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Volume | 2 |
Conference
Conference | 2nd Joint Conference on Lexical and Computational Semantics, *SEM 2013 |
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Country/Territory | United States |
City | Atlanta |
Period | 13/06/13 → 14/06/13 |
Bibliographical note
Publisher Copyright:c 2013 Association for Computational Linguistics
Funding
This work has been supported by the Volkswagen Foundation as part of the Lichtenberg-Professorship Program under grant No. I/82806, and by the European Community’s Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 287923 (EXCITEMENT). We would like to thank the Minerva Foundation for facilitating this cooperation with a short term research grant.
Funders | Funder number |
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Environmental Leadership Program | |
Seventh Framework Programme | 287923 |
Minerva Foundation | |
Volkswagen Foundation | I/82806 |