Paper: Improving English Subcategorization Acquisition With Diathesis Alternations As Heuristic Information

ACL ID P06-2043
Title Improving English Subcategorization Acquisition With Diathesis Alternations As Heuristic Information
Venue Annual Meeting of the Association of Computational Linguistics
Session Poster Session
Year 2006
Authors

Automatically acquired lexicons with subcategorization information have al- ready proved accurate and useful enough for some purposes but their accuracy still shows room for improvement. By means of diathesis alternation, this paper pro- poses a new filtering method, which im- proved the performance of Korhonen’s acquisition system remarkably, with the precision increased to 91.18% and recall unchanged, making the acquired lexicon much more practical for further manual proofreading and other NLP uses.