Focusing for Pronoun Resolution in English Discourse: An Implementation

Computer Science – Computation and Language

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

iii + 49 pages, compressed, uuencoded Postscript file; revised version of the first author's Bilkent M.S. thesis, written unde

Scientific paper

Anaphora resolution is one of the most active research areas in natural language processing. This study examines focusing as a tool for the resolution of pronouns which are a kind of anaphora. Focusing is a discourse phenomenon like anaphora. Candy Sidner formalized focusing in her 1979 MIT PhD thesis and devised several algorithms to resolve definite anaphora including pronouns. She presented her theory in a computational framework but did not generally implement the algorithms. Her algorithms related to focusing and pronoun resolution are implemented in this thesis. This implementation provides a better comprehension of the theory both from a conceptual and a computational point of view. The resulting program is tested on different discourse segments, and evaluation and analysis of the experiments are presented together with the statistical results.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Focusing for Pronoun Resolution in English Discourse: An Implementation does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Focusing for Pronoun Resolution in English Discourse: An Implementation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Focusing for Pronoun Resolution in English Discourse: An Implementation will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-339182

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.