Semantic Extraction with Wide-Coverage Lexical ResourcesDownload PDF

2003 (modified: 16 Jul 2019)HLT-NAACL 2003Readers: Everyone
Abstract: We report on results of combining graphical modeling techniques with Information Extraction resources (Pattern Dictionary and Lexicon) for both frame and semantic role assignment. Our approach demonstrates the use of two human built knowledge bases (WordNet and FrameNet) for the task of semantic extraction.
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