A NATURAL LANGUAGE APPROACH TO MULTI-WORD TERM CONFLATION
Judith L. Klavans, Christian Jacquemin, Evelyne Tzoukermann · 1997
This paper presents a corpus-based system to expand multi-word index terms using a part-of-speech tagger and a fullfledged derivational morphological system, combined with a shallow parser. The unique contribution of the research is in using these linguistically based tools with filters in order to avoid the problems of semantic degradation typically associated with derivational analysis. The expansion and subsequent conflation of terms increases indexing coverage up to 30%, with precision of nearly 90% for correct identification of related terms. The system core is language independent and provides a uniform platform on which to build multilingual applications. Language specific modules have been developed for English and French. The fully implemented system is described with particular attention to the role of derivational morphology and phrasal relations. Results and evaluation will be presented in terms of precision and recall, with an analysis of errors. This paper illustrates how...