Paper: Combining Lexical Semantic Resources with Question & Answer Archives for Translation-Based Answer Finding

ACL ID P09-1082
Title Combining Lexical Semantic Resources with Question & Answer Archives for Translation-Based Answer Finding
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2009
Authors

Monolingual translation probabilities have recently been introduced in retrieval mod- els to solve the lexical gap problem. They can be obtained by training statisti- cal translation models on parallel mono- lingual corpora, such as question-answer pairs, where answers act as the “source” language and questions as the “target” language. In this paper, we propose to use as a parallel training dataset the definitions and glosses provided for the same term by different lexical semantic re- sources. We compare monolingual trans- lation models built from lexical semantic resources with two other kinds of datasets: manually-tagged question reformulations and question-answer pairs. We also show that the monolingual translation probabil- ities obtained (i) are comparable to tradi- tional s...