Paper: Expansion Of Multi-Word Terms For Indexing And Retrieval Using Morphology And Syntax

ACL ID P97-1004
Title Expansion Of Multi-Word Terms For Indexing And Retrieval Using Morphology And Syntax
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1997
Authors

A system for the automatic production of controlled index terms is presented using linguistically-motivated techniques. This includes a finite-state part of speech tagger, a derivational morphological processor for analysis and generation, and a unification- based shallow-level parser using transfor- mational rules over syntactic patterns. The contribution of this research is the success- ful combination of parsing over a seed term list coupled with derivational morphology to achieve greater coverage of multi-word terms for indexing and retrieval. Final re- sults are evaluated for precision and recall, and implications for indexing and retrieval are discussed. 1 Motivation Terms are known to be excellent descriptors of the informational content of textual documents (Sriniva- san, 1996), bu...