期刊名称：Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度：2011
卷号：2011
出版社：ACL Anthology
摘要：Recognizing entailment at the lexical level is
an important and commonly-addressed component
in textual inference. Yet, this task has
been mostly approached by simplified heuristic
methods. This paper proposes an initial
probabilistic modeling framework for lexical
entailment, with suitable EM-based parameter
estimation. Our model considers prominent
entailment factors, including differences
in lexical-resources reliability and the impacts
of transitivity and multiple evidence. Evaluations
show that the proposed model outperforms
most prior systems while pointing at required
future improvements.
