Thumbnail
Access Restriction
Subscribed

Author Goldman, Neil M.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Keyword Models of cognitive processes ♦ Language generation ♦ Natural language processing ♦ Semantic representation ♦ Artificial intelligence
Abstract A model of natural language generation based on an underlying language-free representation of meaning is described. A program based on this model is able to produce sentence paraphrases which demonstrate understanding with respect to a given context. This generator operates in conjunction with a natural language analyzer and a combined memory and inference model. In generating sentences from meaning structures, the program employs both the information retrieval and deduction capabilities of the memory model.The model encompasses several diverse classes of linguistic knowledge, which include: (1) executable tests of conceptual properties stored in discrimination nets; (2) information relating conceptual to syntactic roles, stored in a word-sense dictionary, and (3) surface grammatical knowledge, stored in a formal grammar.
Description Affiliation: Univ. of Southern California, Marina del Rey, CA (Goldman, Neil M.)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-08-01
Publisher Place New York
Journal Communications of the ACM (CACM)
Volume Number 18
Issue Number 2
Page Count 11
Starting Page 96
Ending Page 106


Open content in new tab

   Open content in new tab
Source: ACM Digital Library