Extracting Structural Paraphrases from Aligned Monolingual Corpora

Abstract

We present an approach for automatically learning paraphrases from aligned monolingual corpora. Our algorithm works by generalizing the syntactic paths between corresponding anchors in aligned sentence pairs. Compared to previous work, structural paraphrases generated by our algorithm tend to be much longer on average, and are capable of capturing long-distance dependencies. In addition to a standalone evaluation of our paraphrases, we also describe a question answering application currently under development that could immensely benefit from automatically-learned structural paraphrases. for large-scale applications, attention has recently focused on techniques for automatically acquiring paraphrases. We present an unsupervised method for acquiring structural paraphrases,

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2003
Accession Number
ADA460577

Entities

People

  • Ali Ibrahim
  • Boris Katz
  • Jimmy Lin

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Air Force Research Laboratories
  • Algorithms
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Birds
  • Computational Linguistics
  • Computational Science
  • Data Mining
  • Demographic Cohorts
  • Language
  • Linguistics
  • Machine Translation
  • Natural Language Processing
  • Natural Languages
  • Precision
  • Translations

Fields of Study

  • Computer science

Readers

  • Ballistic Missile Meteorology
  • Speech Processing/Speech Recognition.
  • Systems Analysis and Design