A Logic Programming Framework for Semantic Interpretation with WordNet and PageRank

Description:

This paper discusses a logic programming framework for semantic interpretation with WordNet and PageRank.

Creator(s):
Creation Date: September 2004
Partner(s):
UNT College of Engineering
Collection(s):
UNT Scholarly Works
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Total Uses: 122
Past 30 days: 4
Yesterday: 1
Creator (Author):
Tarau, Paul

University of North Texas

Creator (Author):
Mihalcea, Rada, 1974-

University of North Texas

Creator (Author):
Figa, Elizabeth

University of North Texas

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

This paper discusses a logic programming framework for semantic interpretation with WordNet and PageRank.

Degree:
Note:

Abstract: This paper describes applications of Logic Programming to Natural Language processing in combination with graph-algorithms and statistical methods. Google's PageRank and similar fast-converging recursive graph algorithms have provided practical means to statistically rank vertices of large graphs like the World Wide Web. By combining a fast Java-based PageRank implementation with a Prolog base inferential layer, running on top of an optimized WordNet graph, the authors describe applications to word sense disambiguation and evaluate their accuracy in comparison with human annotated corpus data.

Physical Description:

14 p.

Language(s):
Subject(s):
Keyword(s): logic programming | natural language processing | word-sense disambiguation | PageRank | inferential extensions | WordNet
Source: Fourth Colloquium on Implementation of Constraint and Logic Programming Systems (CICLOPS), 2004, Saint-Malo, France
Partner:
UNT College of Engineering
Collection:
UNT Scholarly Works
Identifier:
  • ARK: ark:/67531/metadc30952
Resource Type: Paper
Format: Text
Rights:
Access: Public