Year: 1999
Type: conference-paper
Abstract: Most existing anaphora resolution algorithms are designed to account only for anaphors with NP-antecedents.This paper describes an algorithm for the resolution of discourse deictic anaphors, which constitute a large percentage of anaphors in spoken dialogues.The success of the resolution is dependent on the classification of all pronouns and demonstratives into individual, discourse deictic and vague anaphora.Finally, the empirical results of the application of the algorithm to a corpus of spoken dialogues are presented.
Authors: Miriam Eckert, Michael Strube
Institution: University of Pennsylvania
Language: English
Topic: Speech and dialogue systems
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
Funder: University of Delaware
OpenAlex ID: W1976396722