Metaphor Interpretation Using Paraphrases Extracted from the Web

Abstract

Interpreting metaphor is a hard but important problem in natural language processing that has numerous applications. One way to address this task is by finding a paraphrase that can replace the metaphorically used word in a given context. This approach has been previously implemented only within supervised frameworks, relying on manually constructed lexical resources, such as WordNet. In contrast, we present a fully unsupervised metaphor interpretation method that extracts literal paraphrases for metaphorical expressions from the Web. It achieves a precision of , which is high for an unsupervised paraphrasing approach. Moreover, the method significantly outperforms both the baseline and the selectional preference-based method of Shutova employed in an unsupervised setting.

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Document Details

Document Type
Technical Report
Publication Date
Sep 20, 2013
Accession Number
AD1096953

Entities

People

  • Danushka Bollegala
  • Ekaterina Shutova

Organizations

  • University of Tokyo

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Automated Text Summarization
  • Computational Processes
  • Computer Programs
  • Construction
  • Errors
  • Identification
  • Identification Systems
  • Information Retrieval
  • Judgment
  • Language
  • Linguistics
  • Machine Translation
  • Natural Language Processing
  • Natural Languages
  • Precision
  • Test And Evaluation
  • United States

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Computational Linguistics

Technology Areas

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