Abstract
This paper proposes a general probabilistic setting that formalizes a probabilistic notion of textual entailment. We further describe a particular preliminary model for lexical-level entailment, based on document cooccurrence probabilities, which follows the general setting. The model was evaluated on two application independent datasets, suggesting the relevance of such probabilistic approaches for entailment modeling.
| Original language | English |
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| Pages | 43-48 |
| Number of pages | 6 |
| DOIs | |
| State | Published - 2005 |
| Event | 2005 ACL Workshop on Empirical Modeling of Semantic Equivalence and Entailment, EMSEE 2005 - Ann Arbor, United States Duration: 30 Jun 2005 → … |
Conference
| Conference | 2005 ACL Workshop on Empirical Modeling of Semantic Equivalence and Entailment, EMSEE 2005 |
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| Country/Territory | United States |
| City | Ann Arbor |
| Period | 30/06/05 → … |
Bibliographical note
Publisher Copyright:© 2005 Association for Computational Linguistics.
Funding
This work was supported in part by the IST Programme of the European Community, under the PASCAL Network of Excellence, IST-2002-506778. This publication only reflects the authors' views. We would also like to thank Ruthie Mandel and Tal Itzhak Ron for their annotation work.
| Funders | Funder number |
|---|---|
| Ruthie Mandel |