Abstract
Distributional word similarity is most commonly perceived as a symmetric relation. Yet, one of its major applications is lexical expansion, which is generally asymmetric. This paper investigates the nature of directional (asymmetric) similarity measures, which aim to quantify distributional feature inclusion. We identify desired properties of such measures, specify a particular one based on averaged precision, and demonstrate the empirical benefit of directional measures for expansion.
| Original language | English |
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| Title of host publication | ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf. |
| Publisher | Association for Computational Linguistics (ACL) |
| Pages | 69-72 |
| Number of pages | 4 |
| ISBN (Print) | 9781617382581 |
| DOIs | |
| State | Published - 2009 |
| Event | Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009 - Suntec, Singapore Duration: 2 Aug 2009 → 7 Aug 2009 |
Publication series
| Name | ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf. |
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Conference
| Conference | Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009 |
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| Country/Territory | Singapore |
| City | Suntec |
| Period | 2/08/09 → 7/08/09 |
Bibliographical note
Funding Information:This work was partially supported by the NEGEV project (www.negev-initiative.org), the PASCAL-2 Network of Excellence of the European Community FP7-ICT-2007-1-216886 and by the Israel Science Foundation grant 1112/08.