Statistical Machine Translation for Query Expansion in Answer Retrieval

Statistical Machine Translation for Query Expansion in Answer Retrieval

Cached

Download Links

[acl.ldc.upenn.edu]
[aclweb.org]
[www.stefanriezler.com]

Other Repositories/Bibliography

DBLP

by Stefan Riezler , Er Vasserman , Ioannis Tsochantaridis , Vibhu Mittal , Yi Liu

Citations:

25 - 2 self

Versions

Version 0

Version History

Metadata Version 0

Datum	Value	Source
TITLE	Statistical Machine Translation for Query Expansion in Answer Retrieval	SVM HeaderParse 0.2
AUTHOR NAME	Stefan Riezler	SVM HeaderParse 0.2
AUTHOR AFFIL	Google Inc., 1600 Amphitheatre Parkway, Mountain View	SVM HeaderParse 0.2
AUTHOR ADDR	CA 94043	SVM HeaderParse 0.2
AUTHOR NAME	Er Vasserman	SVM HeaderParse 0.2
AUTHOR AFFIL	Google Inc., 1600 Amphitheatre Parkway, Mountain View	SVM HeaderParse 0.2
AUTHOR ADDR	CA 94043	SVM HeaderParse 0.2
AUTHOR NAME	Ioannis Tsochantaridis	SVM HeaderParse 0.2
AUTHOR AFFIL	Google Inc., 1600 Amphitheatre Parkway, Mountain View	SVM HeaderParse 0.2
AUTHOR ADDR	CA 94043	SVM HeaderParse 0.2
AUTHOR NAME	Vibhu Mittal	SVM HeaderParse 0.2
AUTHOR AFFIL	Google Inc., 1600 Amphitheatre Parkway, Mountain View	SVM HeaderParse 0.2
AUTHOR ADDR	CA 94043	SVM HeaderParse 0.2
AUTHOR NAME	Yi Liu	SVM HeaderParse 0.2
AUTHOR AFFIL	Google Inc., 1600 Amphitheatre Parkway, Mountain View	SVM HeaderParse 0.2
AUTHOR ADDR	CA 94043	SVM HeaderParse 0.2
ABSTRACT	We present an approach to query expansion in answer retrieval that uses Statistical Machine Translation (SMT) techniques to bridge the lexical gap between questions and answers. SMT-based query expansion is done by i) using a full-sentence paraphraser to introduce synonyms in context of the entire query, and ii) by translating query terms into answer terms using a full-sentence SMT model trained on question-answer pairs. We evaluate these global, context-aware query expansion techniques on tfidf retrieval from 10 million question-answer pairs extracted from FAQ pages. Experimental results show that SMTbased expansion improves retrieval performance over local expansion and over retrieval without expansion. 1	SVM HeaderParse 0.2
CITATIONS	24 found	ParsCit 1.0