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» Word Sense Language Model for Information Retrieval
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SIGIR
2010
ACM
15 years 3 months ago
Positional relevance model for pseudo-relevance feedback
Pseudo-relevance feedback is an effective technique for improving retrieval results. Traditional feedback algorithms use a whole feedback document as a unit to extract words for ...
Yuanhua Lv, ChengXiang Zhai
SIGIR
2005
ACM
15 years 5 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
SWAP
2008
15 years 1 months ago
Improving Retrieval Experience Exploiting Semantic Representation of Documents
The traditional strategy performed by Information Retrieval (IR) systems is ranked keyword search: for a given query, a list of documents, ordered by relevance, is returned. Releva...
Pierpaolo Basile, Annalina Caputo, Anna Lisa Genti...
CVPR
2009
IEEE
16 years 7 months ago
A Similarity Measure Between Vector Sequences with Application to Handwritten Word Image Retrieval
This article proposes a novel similarity measure between vector sequences. Recently, a model-based approach was introduced to address this issue. It consists in modeling each se...
José A. Rodríguez-Serrano, Florent P...
IPM
2006
60views more  IPM 2006»
14 years 11 months ago
An ensemble of transliteration models for information retrieval
Transliteration is used to phonetically translate proper names and technical terms especially from languages in Roman alphabets to languages in non-Roman alphabets such as from En...
Jong-Hoon Oh, Key-Sun Choi