Coreference Resolution Strategies from an Application Perspective

Abstract

As part of our TIPSTER III research program, we have continued our research into strategies to resolve coreferences within a free text document; this research was begun during our TIPSTER II research program. In the TIPSTER II Proceedings paper, "An Evaluation of Coreference Resolution Strategies for Acquiring Associated Information," the goal was to evaluate the contributions of various techniques for associating an entity with three types of information: I) name variations, 2) descriptive phrases, and 3) location information. This paper discusses the evolution of the coreference resolution techniques of the NLToolset', as they have been applied to an information extraction application, similar to the MUC Scenario Template task. Development of this application motivated new coreference resolution algorithms which were specific to the type of entity being handled. It also has raised the importance of understanding the structure of a document in order to guide the coreference resolution process.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1998
Accession Number
ADA631249

Entities

People

  • David Dadd
  • Lois C. Childs
  • Norris Heintzelman

Organizations

  • Lockheed Martin

Tags

Communities of Interest

  • Air Platforms
  • Ground and Sea Platforms
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Aircrafts
  • Airframes
  • Algorithms
  • Artificial Intelligence
  • Cargo Aircraft
  • Coast Guard
  • Corporations
  • Fighter Aircraft
  • Grids
  • Law Enforcement
  • Law Enforcement Officers
  • Recognition
  • Standards
  • Structural Components
  • Text Processing
  • Two Dimensional
  • Vehicles

Readers

  • Computational Linguistics
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval