Paper: Bilingual Co-Training for Monolingual Hyponymy-Relation Acquisition

ACL ID P09-1049
Title Bilingual Co-Training for Monolingual Hyponymy-Relation Acquisition
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2009

This paper proposes a novel framework called bilingual co-training for a large- scale, accurate acquisition method for monolingual semantic knowledge. In this framework, we combine the indepen- dent processes of monolingual semantic- knowledge acquisition for two languages using bilingual resources to boost perfor- mance. We apply this framework to large- scale hyponymy-relation acquisition from Wikipedia. Experimental results show that our approach improved the F-measure by 3.6–10.3%. We also show that bilin- gual co-training enables us to build classi- fiers for two languages in tandem with the same combined amount of data as required for training a single classifier in isolation while achieving superior performance. 1 Motivation Acquiring and accumulating semantic knowledge are crucia...