Gathering Statistics to Aspectually Classify Sentences with a Genetic Algorithm

This paper presents a method for large corpus analysis to semantically classify an entire clause. In particular, we use cooccurrence statistics among similar clauses to determine the aspectual class of an input clause. The process examines linguistic features of clauses that are relevant to aspectual classification. A genetic algorithm determines what combinations of linguistic features to use for this task.

• Publication year

  1996

• Venue

  arXiv.org

• Publication date

  1996-10-21

• Fields of study

  Linguistics, Computer Science

• Identifiers
  DOI 10.7916/D87D33G0arXiv cmp-lg/9610002
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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