tailieunhanh - Báo cáo khoa học: "Generating Entailment Rules from FrameNet"

Many NLP tasks need accurate knowledge for semantic inference. To this end, mostly WordNet is utilized. Yet WordNet is limited, especially for inference between predicates. To help filling this gap, we present an algorithm that generates inference rules between predicates from FrameNet. Our experiment shows that the novel resource is effective and complements WordNet in terms of rule coverage. | Generating Entailment Rules from FrameNet Roni Ben Aharon Idan Szpektor Ido Dagan Department of Computer Science Yahoo Research Department of Computer Science Bar-Ilan University Haifa Israel Bar-Ilan University Ramat Gan Israel idan@ Ramat Gan Israel dagan@ Abstract Many NLP tasks need accurate knowledge for semantic inference. To this end mostly WordNet is utilized. Yet Word-Net is limited especially for inference between predicates. To help filling this gap we present an algorithm that generates inference rules between predicates from FrameNet. Our experiment shows that the novel resource is effective and complements WordNet in terms of rule coverage. 1 Introduction Many text understanding applications such as Question Answering QA and Information Extraction IE need to infer a target textual meaning from other texts. This need was proposed as a generic semantic inference task under the Textual Entailment TE paradigm Dagan et al. 2006 . A fundamental component in semantic inference is the utilization of knowledge resources. However a major obstacle to improving semantic inference performance is the lack of such knowledge Bar-Haim et al. 2006 Giampiccolo et al. 2007 . We address one prominent type of inference knowledge known as entailment rules focusing specifically on rules between predicates such as cure X X recover . We aim at highly accurate rule acquisition for which utilizing manually constructed sources seem appropriate. The most widely used manual resource is WordNet Fellbaum 1998 . Yet it is incomplete for generating entailment rules between predicates Section . Hence other manual resources should also be targeted. In this work1 we explore how FrameNet Baker et al. 1998 could be effectively used for generating entailment rules between predicates. The detailed description of our work can be found in Ben Aharon 2010 . FrameNet is a manually constructed database based on Frame Semantics. It models the .