Searching Semantic Resources for Complex Selectional Restrictions to Support Verb Sense Disambiguation

Abstract

Natural language processing systems are increasingly integrating lexicons with ontologies for word sense disambiguation (WSD). Manually acquiring a lexicon that is integrated with a large ontology and other semantic resources can be difficult and inefficient in part due to the complexity of ontologies and inconsistency of entity extractors supporting WSD applications. A major contributing factor to the difficulty is the creation of selectional restrictions with respect to particular semantic resources. This paper presents a process for acquiring complex expressions for selectional restrictions via search through an ontology.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2010
Accession Number
ADA588284

Entities

People

  • Ethan Cooper
  • Lynn Carlson
  • Merwyn Taylor
  • Stephanie Poisson
  • Sun Fontaine

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acquisition
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Computational Linguistics
  • Computer Languages
  • Corporations
  • Grammars
  • Language
  • Linguistics
  • Models
  • Named Entity Recognition
  • Natural Language Processing
  • Natural Languages
  • Ontologies
  • Precision
  • Probabilistic Models
  • Supervised Machine Learning

Readers

  • Computational Linguistics
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • AI & ML - Machine Translation