Work

Glen, Glenda or Glendale

Year: 2009

Type: conference-paper

Abstract: English pronouns like he and they reliably reflect the gender and number of the entities to which they refer. Pronoun resolution systems can use this fact to filter noun candidates that do not agree with the pronoun gender. Indeed, broad-coverage models of noun gender have proved to be the most important source of world knowledge in automatic pronoun resolution systems.

Source: Conference on Computational Natural Language Learning

DOI: 10.3115/1596374.1596396

Authors: Shane Bergsma, Dekang Lin, Randy Goebel

Institutions: University of Alberta, Google (United States)

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W1966875675

FWCI: 0.938

Cites: 32

Cited by: 7

Related to: 10