tailieunhanh - Báo cáo khoa học: "Evaluating the Inferential Utility of Lexical-Semantic Resources"

Lexical-semantic resources are used extensively for applied semantic inference, yet a clear quantitative picture of their current utility and limitations is largely missing. We propose system- and application-independent evaluation and analysis methodologies for resources’ performance, and systematically apply them to seven prominent resources. Our findings identify the currently limited recall of available resources, and indicate the potential to improve performance by examining non-standard relation types and by distilling the output of distributional methods. . | Evaluating the Inferential Utility of Lexical-Semantic Resources Shachar Mirkin Ido Dagan Eyal Shnarch Computer Science Department Bar-Ilan University Ramat-Gan 52900 Israel mirkins dagan shey @ Abstract Lexical-semantic resources are used extensively for applied semantic inference yet a clear quantitative picture of their current utility and limitations is largely missing. We propose system- and application-independent evaluation and analysis methodologies for resources performance and systematically apply them to seven prominent resources. Our findings identify the currently limited recall of available resources and indicate the potential to improve performance by examining non-standard relation types and by distilling the output of distributional methods. Further our results stress the need to include auxiliary information regarding the lexical and logical contexts in which a lexical inference is valid as well as its prior validity likelihood. 1 Introduction Lexical information plays a major role in semantic inference as the meaning of one term is often inferred form another. Lexical-semantic resources which provide the needed knowledge for lexical inference are commonly utilized by applied inference systems Giampiccolo et al. 2007 and applications such as Information Retrieval and Question Answering Shah and Croft 2004 Pasca and Harabagiu 2001 . Beyond WordNet Fell-baum 1998 a wide range of resources has been developed and utilized including extensions to WordNet Moldovan and Rus 2001 Snow et al. 2006 and resources based on automatic distributional similarity methods Lin 1998 Pantel and Lin 2002 . Recently Wikipedia is emerging as a source for extracting semantic relationships Suchanek et al. 2007 Kazama and Tori-sawa 2007 . As of today only a partial comparative picture is available regarding the actual utility and limitations of available resources for lexical-semantic inference. Works that do provide quantitative information regarding resources .