@inproceedings{79e023a237884a698bb949468992d4e8,
title = "Towards a Probabilistic Model for Lexical Entailment",
abstract = "While modeling entailment at the lexical-level is a prominent task, addressed by most textual entailment systems, it has been approached mostly by heuristic methods, neglecting some of its important aspects. We present a probabilistic approach for this task which covers aspects such as differentiating various resources by their reliability levels, considering the length of the entailed sentence, the number of its covered terms and the existence of multiple evidence for the entailment of a term. The impact of our model components is validated by evaluations, which also show that its performance is in line with the best published entailment systems.",
author = "Eyal Shnarch and Jacob Goldberger and Ido Dagan",
note = "Publisher Copyright: {\textcopyright} 2011 Association for Computational Linguistics.; 2011 Workshop on Textual Entailment, TextInfer 2011 at the Conference on Empirical Methods in Natural Language Processing, EMNLP 2011 ; Conference date: 30-07-2011",
year = "2011",
language = "الإنجليزيّة",
series = "TextInfer 2011 - Workshop on Textual Entailment at the Conference on Empirical Methods in Natural Language Processing, EMNLP 2011 - Proceedings",
publisher = "Association for Computational Linguistics (ACL)",
pages = "10--19",
editor = "Sebastian Pado and Stefan Thater",
booktitle = "TextInfer 2011 - Workshop on Textual Entailment at the Conference on Empirical Methods in Natural Language Processing, EMNLP 2011 - Proceedings",
address = "الولايات المتّحدة",
}