Open Text Semantic Parsing Using FrameNet and WordNet

Description:

This article discusses open text semantic parsing using FrameNet and WordNet.

Creator(s):
Creation Date: May 2004
Partner(s):
UNT College of Engineering
Collection(s):
UNT Scholarly Works
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Creator (Author):
Shi, Lei

University of North Texas

Creator (Author):
Mihalcea, Rada, 1974-

University of North Texas

Date(s):
  • Creation: May 2004
Description:

This article discusses open text semantic parsing using FrameNet and WordNet.

Degree:
Note:

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 shadow semantic features associated with concepts in the text. Parsing semantic structures allows semantic units and constitutes 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.

Physical Description:

4 p.

Language(s):
Subject(s):
Keyword(s): natural languages | syntactic relations | WordNet | FrameNet
Source: Human Language Technology Conference / Association for Computational Linguistics. North American Chapter Annual Meeting (HLT/NAACL), 2004, Boston, Massachusetts, United States
Contributor(s):
Partner:
UNT College of Engineering
Collection:
UNT Scholarly Works
Identifier:
  • ARK: ark:/67531/metadc30959
Resource Type: Paper
Format: Text
Rights:
Access: Public