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» Two-stage language models for information retrieval
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SIGIR
2005
ACM
14 years 1 months ago
Finding semantically similar questions based on their answers
A large number of question and answer pairs can be collected from question and answer boards and FAQ pages on the Web. This paper proposes an automatic method of finding the ques...
Jiwoon Jeon, W. Bruce Croft, Joon Ho Lee
COLING
2010
13 years 2 months ago
Unsupervised Discriminative Language Model Training for Machine Translation using Simulated Confusion Sets
An unsupervised discriminative training procedure is proposed for estimating a language model (LM) for machine translation (MT). An English-to-English synchronous context-free gra...
Zhifei Li, Ziyuan Wang, Sanjeev Khudanpur, Jason E...
CIKM
2004
Springer
14 years 1 months ago
A framework for selective query expansion
Query expansion is a well-known technique that has been shown to improve average retrieval performance. This technique has not been used in many operational systems because of the...
Stephen Cronen-Townsend, Yun Zhou, W. Bruce Croft
ADCS
2004
13 years 9 months ago
On the Effectiveness of Relevance Profiling
Relevance profiling is a general process for withindocument retrieval. Given a query, a profile of retrieval status values is computed by sliding a fixed sized window across a doc...
David J. Harper, David Lee
ACL
2006
13 years 9 months ago
A Comparison of Document, Sentence, and Term Event Spaces
The trend in information retrieval systems is from document to sub-document retrieval, such as sentences in a summarization system and words or phrases in question-answering syste...
Catherine Blake