Open text semantic parsing using FrameNet and WordNet

Authors:
Lei Shi;Rada Mihalcea
Affiliations:
University of North Texas;University of North Texas
Venue:
HLT-NAACL--Demonstrations '04 Demonstration Papers at HLT-NAACL 2004
Year:
2004

Citing 3
Cited 6

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Abstract

This paper describes a rule-based semantic parser that relies on a frame dataset (FrameNet), and a semantic network (WordNet), to identify semantic relations between words in open text, as well as shallow semantic features associated with concepts in the text. Parsing semantic structures allows semantic units and constituents to be accessed and processed in a more meaningful way than syntactic parsing, moving the automation of understanding natural language text to a higher level.