Enriching the WordNet taxonomy with contextual knowledge acquired from text
Sanda M. Harabagiu, DAN I. MOLDOVAN · 2000
This paper presents a possible solution for the problem of integrating contextual knowledge in the WordNet database. Contextual structures are derived from three sources: (1) minimal contexts - in the form of semantic nets transformations of WordNet glosses; (2) dynamic contexts rendered by webs of lexico-semantic paths revealing textual implied information and (3) static contexts - represented by patterns of concepts and semantic links. The relevance of these structures is measured on a three-tired benchmark, comprising (a) word-sense disambiguation; (b) coreference resolution and (c) acquisition of domain patterns for information extraction. 1 The Basic Idea Recently, a new version of the WordNet lexical database [Miller, 1995] developed at Princeton has become publicly available (www.cogsci.princeton.edu/~wn). WordNet 1.6 contains 126,520 English words grouped into 91,595 synonym sets, called synsets. Words and synsets are entangled by 391,885 lexico-semantic relations, making Word...