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» Word Sense Language Model for Information Retrieval
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SIGIR
2002
ACM
13 years 8 months ago
Using self-supervised word segmentation in Chinese information retrieval
We propose a self-supervised word-segmentation technique for Chinese information retrieval. This method combines the advantages of traditional dictionary based approaches with cha...
Fuchun Peng, Xiangji Huang, Dale Schuurmans, Nick ...
SIGIR
2004
ACM
14 years 1 months ago
Cluster-based retrieval using language models
Previous research on cluster-based retrieval has been inconclusive as to whether it does bring improved retrieval effectiveness over document-based retrieval. Recent developments ...
Xiaoyong Liu, W. Bruce Croft
CORR
1999
Springer
120views Education» more  CORR 1999»
13 years 8 months ago
Cross-Language Information Retrieval for Technical Documents
This paper proposes a Japanese/English crosslanguage information retrieval (CLIR) system targeting technical documents. Our system first translates a given query containing techni...
Atsushi Fujii, Tetsuya Ishikawa
JCDL
2011
ACM
226views Education» more  JCDL 2011»
12 years 11 months ago
Measuring historical word sense variation
We describe here a method for automatically identifying word sense variation in a dated collection of historical books in a large digital library. By leveraging a small set of kno...
David Bamman, Gregory Crane
COLING
2010
13 years 3 months ago
Contextual Modeling for Meeting Translation Using Unsupervised Word Sense Disambiguation
In this paper we investigate the challenges of applying statistical machine translation to meeting conversations, with a particular view towards analyzing the importance of modeli...
Mei Yang, Katrin Kirchhoff