Language Processing via Canonical Verbs and Semantic Models
Abstract
A natural language question answering system is presented. The system's parser maps semantic paraphrases into a single deep structure characterized by a canonical verb. A modeling scheme using semantic nets and STRIPS-like operators assimilates the sequence of input information. Natural language responses to questions are generated from a data base of semantic nets by parsing syntactic rules retrieved from the lexicon.
Cite
Text
Hendrix et al. "Language Processing via Canonical Verbs and Semantic Models." International Joint Conference on Artificial Intelligence, 1973.Markdown
[Hendrix et al. "Language Processing via Canonical Verbs and Semantic Models." International Joint Conference on Artificial Intelligence, 1973.](https://mlanthology.org/ijcai/1973/hendrix1973ijcai-language/)BibTeX
@inproceedings{hendrix1973ijcai-language,
title = {{Language Processing via Canonical Verbs and Semantic Models}},
author = {Hendrix, Gary G. and Thompson, Craig W. and Slocum, Jonathan},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1973},
pages = {262-269},
url = {https://mlanthology.org/ijcai/1973/hendrix1973ijcai-language/}
}