Paper: Dynamic Strategy Selection In Flexible Parsing

ACL ID P81-1032
Title Dynamic Strategy Selection In Flexible Parsing
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1981
Authors

Robust natural language interpretation requires strong semantic domain models, "fall-soff" recovery heuristics, and very flexible control structures. Although single-strategy parsers have met with a measure of success, a multi.strategy approach is shown to provide a much higher degree of flexibility, redundancy, and ability to bring task-specific domain knowledge (in addition to general linguistic knowledge) to bear on both grammatical and ungrammatical input. A parsing algorithm is presented that integrates several different parsing strategies, with case-frame instantiation dominating. Each of these parsing strategies exploits different types of knowledge; and their combination provides a strong framework in which to process conjunctions, fragmentary input, and ungrammatical structures, a...