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» Studying Query Expansion Effectiveness
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SIGIR
2008
ACM
13 years 9 months ago
A study of learning a merge model for multilingual information retrieval
This paper proposes a learning approach for the merging process in multilingual information retrieval (MLIR). To conduct the learning approach, we also present a large number of f...
Ming-Feng Tsai, Yu-Ting Wang, Hsin-Hsi Chen
WWW
2011
ACM
13 years 4 months ago
Web scale NLP: a case study on url word breaking
This paper uses the URL word breaking task as an example to elaborate what we identify as crucialin designingstatistical natural language processing (NLP) algorithmsfor Web scale ...
Kuansan Wang, Christopher Thrasher, Bo-June Paul H...
ICML
1998
IEEE
14 years 9 months ago
An Efficient Boosting Algorithm for Combining Preferences
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yora...
SIGIR
2005
ACM
14 years 2 months ago
Question answering passage retrieval using dependency relations
State-of-the-art question answering (QA) systems employ termdensity ranking to retrieve answer passages. Such methods often retrieve incorrect passages as relationships among ques...
Hang Cui, Renxu Sun, Keya Li, Min-Yen Kan, Tat-Sen...
COLING
2010
13 years 4 months ago
Discriminative Training for Near-Synonym Substitution
Near-synonyms are useful knowledge resources for many natural language applications such as query expansion for information retrieval (IR) and paraphrasing for text generation. Ho...
Liang-Chih Yu, Hsiu-Min Shih, Yu-Ling Lai, Jui-Fen...