Paper: Semantic Extraction With Wide-Coverage Lexical Resources

ACL ID N03-2022
Title Semantic Extraction With Wide-Coverage Lexical Resources
Venue Human Language Technologies
Session Short Paper
Year 2003
Authors

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.