Word Expert Parsing
Abstract
An approach to natural language meaning-based parsing in which the unit linguistic knowledge is the word rather than the rewrite rule is described. In the Word Expert Parser, knowledge about language is distributed across a population of procedural experts, each representing a word of the language, and each an expert at diagnosing that word a intended usage in context. The parser is structured around a coroutine control environment in which the generator-like word experts ask questions and exchange information in coming to collective agreement on sentence meaning. The word Expert theory is advanced as a better cognitive model of human language expertise than the traditional rule-based approach. The technical discussion is organized around examples taken from the prototype LISP system which implements parts of the theory.
Cite
Text
Rieger and Small. "Word Expert Parsing." International Joint Conference on Artificial Intelligence, 1979.Markdown
[Rieger and Small. "Word Expert Parsing." International Joint Conference on Artificial Intelligence, 1979.](https://mlanthology.org/ijcai/1979/rieger1979ijcai-word/)BibTeX
@inproceedings{rieger1979ijcai-word,
title = {{Word Expert Parsing}},
author = {Rieger, Chuck and Small, Steven L.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1979},
pages = {723-728},
url = {https://mlanthology.org/ijcai/1979/rieger1979ijcai-word/}
}