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An Algorithm for Open Text Semantic Parsing

Description:

This paper describes an algorithm for open text shallow semantic parsing.

Creator(s):
Creation Date: August 2004
Partner(s):
UNT College of Engineering
Collection(s):
UNT Scholarly Works
Usage:
Total Uses: 332
Past 30 days: 6
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Creator (Author):
Shi, Lei

University of North Texas

Creator (Author):
Mihalcea, Rada, 1974-

University of North Texas

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

This paper describes an algorithm for open text shallow semantic parsing.

Degree:
Note:

Abstract: This paper describes an algorithm for open text shallow semantic parsing. The algorithm 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.

Physical Description:

9 p.

Language(s):
Subject(s):
Keyword(s): FrameNet | WordNet | syntactic parsing | natural language texts
Source: ROMAND Workshop on Robust Methods in Analysis of Natural Language Data, 2004, Geneva, Switzerland
Contributor(s):
Partner:
UNT College of Engineering
Collection:
UNT Scholarly Works
Identifier:
  • ARK: ark:/67531/metadc30953
Resource Type: Paper
Format: Text
Rights:
Access: Public