Abstract
Recognizing and distinguishing antonyms from other types of semantic relations is an essential part of language understanding systems. In this paper, we present a novel method for deriving antonym pairs using paraphrase pairs containing negation markers. We further propose a neural network model, AntNET, that integrates morphological features indicative of antonymy into a path-based relation detection algorithm. We demonstrate that our model outperforms state-of-the-art models in distinguishing antonyms from other semantic relations and is capable of efficiently handling multi-word expressions.
Original language | English |
---|---|
Title of host publication | *SEM 2017 - 6th Joint Conference on Lexical and Computational Semantics, Proceedings |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 12-21 |
Number of pages | 10 |
ISBN (Electronic) | 9781945626531 |
DOIs | |
State | Published - 2017 |
Event | 6th Joint Conference on Lexical and Computational Semantics, *SEM 2017 - Vancouver, Canada Duration: 3 Aug 2017 → 4 Aug 2017 |
Publication series
Name | *SEM 2017 - 6th Joint Conference on Lexical and Computational Semantics, Proceedings |
---|
Conference
Conference | 6th Joint Conference on Lexical and Computational Semantics, *SEM 2017 |
---|---|
Country/Territory | Canada |
City | Vancouver |
Period | 3/08/17 → 4/08/17 |
Bibliographical note
Publisher Copyright:© 2017 Association for Computational Linguistics.
Funding
This material is based in part on research sponsored by DARPA under grant number FA8750-13-2-0017 (the DEFT program). The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes. The views and conclusions contained in this publication are those of the authors and should not be interpreted as representing official policies or endorsements of DARPA and the U.S. Government. This work has also been supported by the French National Research Agency under project ANR-16-CE33-0013 and partially supported by an Intel ICRI-CI grant, the Israel Science Foundation grant 880/12, and the German Research Foundation through the German-Israeli Project Cooperation (DIP, grant DA 1600/1-1).
Funders | Funder number |
---|---|
DIP | DA 1600/1-1 |
German-Israeli Project Cooperation | |
Intel ICRI-CI | |
Defense Advanced Research Projects Agency | FA8750-13-2-0017 |
Deutsche Forschungsgemeinschaft | |
Agence Nationale de la Recherche | ANR-16-CE33-0013 |
Israel Science Foundation | 880/12 |