Paper Info
Title
Selecting tense aspect and connecting words in language generation
Abstract
Generating language that reflects the temporal organization of represented knowledge requires a language generation model chat integrates contemporary theories of tense and aspect, temporal representations, and methods to plan text This paper presents a model that produces complex sentences that reflect temporal relations present in underlying temporal concepts The mam result of this work is the successful application of constrained linguistic theories of tense and aspect to a generator which produces meaningful event combinations and selects appropriate connecting words that relate them.
Year
Venue
Keywords
1995
IJCAI
temporal representation,complex sentence,contemporary theory,temporal relation,temporal concept,language generation model chat,linguistic theory,generating language,temporal organization,mam result,tense aspect,mathematical model,information system,machine translation,artificial intelligent
Field
DocType
ISBN
Information system,Computer science,Natural language,Natural language processing,Artificial intelligence,Mathematical model,Machine learning
Conference
1-55860-363-8
Citations 
PageRank 
References 
5
0.91
14
Authors
2
Name
Order
Citations
PageRank
Bonnie J. Dorr12150176.78
Terry Gaasterland2447148.59