Paper: Entity based Q&A Retrieval

ACL ID D12-1116
Title Entity based Q&A Retrieval
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2012

Bridging the lexical gap between the user?s question and the question-answer pairs in the Q&A archives has been a major challenge for Q&A retrieval. State-of-the-art approaches address this issue by implicitly expanding the queries with additional words using statistical translation models. While useful, the effec- tiveness of these models is highly dependant on the availability of quality corpus in the ab- sence of which they are troubled by noise is- sues. Moreover these models perform word based expansion in a context agnostic manner resulting in translation that might be mixed and fairly general. This results in degraded retrieval performance. In this work we ad- dress the above issues by extending the lex- ical word based translation model to incor- porate semantic concepts (entities)...