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» Improving Automatic Query Expansion
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SIGIR
2008
ACM
13 years 7 months ago
Learning query intent from regularized click graphs
This work presents the use of click graphs in improving query intent classifiers, which are critical if vertical search and general-purpose search services are to be offered in a ...
Xiao Li, Ye-Yi Wang, Alex Acero
DEBU
2007
142views more  DEBU 2007»
13 years 7 months ago
Multi-lingual Indexing Support for CLIR using Language Modeling
An indexing model is the heart of an Information Retrieval (IR) system. Data structures such as term based inverted indices have proved to be very effective for IR using vector sp...
Prasad Pingali, Vasudeva Varma
ACL
2010
13 years 5 months ago
Active Learning-Based Elicitation for Semi-Supervised Word Alignment
Semi-supervised word alignment aims to improve the accuracy of automatic word alignment by incorporating full or partial manual alignments. Motivated by standard active learning q...
Vamshi Ambati, Stephan Vogel, Jaime G. Carbonell
IPM
2008
115views more  IPM 2008»
13 years 7 months ago
Adapting information retrieval systems to user queries
Users enter queries that are short as well as long. The aim of this work is to evaluate techniques that can enable information retrieval (IR) systems to automatically adapt to per...
Giridhar Kumaran, James Allan
CIKM
2005
Springer
14 years 1 months ago
Maximal termsets as a query structuring mechanism
Search engines process queries conjunctively to restrict the size of the answer set. Further, it is not rare to observe a mismatch between the vocabulary used in the text of Web p...
Bruno Pôssas, Nivio Ziviani, Berthier A. Rib...