Paper: Enhancing Automatic Term Recognition Through Recognition Of Variation

ACL ID C04-1087
Title Enhancing Automatic Term Recognition Through Recognition Of Variation
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2004
Authors

Terminological variation is an integral part of the linguistic ability to realise a concept in many ways, but it is typically considered an obstacle to automatic term recognition (ATR) and term management. We present a method that integrates term variation in a hybrid ATR approach, in which term candidates are recognised by a set of linguistic filters and termhood assignment is based on joint frequency of occurrence of all term variants. We evaluate the effectiveness of incorporating specific types of term variation by comparing it to the performance of a baseline method that treats term variants as separate terms.