Multi-Document Relationship Fusion via Constraints on Probabilistic Databases

Abstract

Previous multi-document relationship extraction and fusion research has focused on single relationships. Shifting the focus to multiple relationships allows for the use of mutual constraints to aid extraction. This paper presents a fusion method which uses a probabilistic database model to pick relationships which violate few constraints. This model allows improved performance on constructing corporate succession timelines from multiple documents with respect to a multi-document fusion baseline.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2007
Accession Number
ADA464777

Entities

People

  • Gideon Mann

Organizations

  • University of Massachusetts Amherst

Tags

Communities of Interest

  • Biomedical
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Computer Science
  • Data Mining
  • Databases
  • Equations
  • Extraction
  • Information Science
  • Machine Learning
  • Models
  • Network Science
  • Precision
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Relational Databases
  • Training
  • Word Processors
  • World Wide Web

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Economics
  • Wetland-Land-Environmental Management.