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» Word Sense Language Model for Information Retrieval
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SIGIR
2009
ACM
15 years 10 months ago
Identifying the original contribution of a document via language modeling
Abstract. One major goal of text mining is to provide automatic methods to help humans grasp the key ideas in ever-increasing text corpora. To this effect, we propose a statistica...
Benyah Shaparenko, Thorsten Joachims
163
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RAS
2010
216views more  RAS 2010»
15 years 2 months ago
A nonparametric learning approach to range sensing from omnidirectional vision
We present a novel approach to estimating depth from single omnidirectional camera images by learning the relationship between visual features and range measurements available dur...
Christian Plagemann, Cyrill Stachniss, Jürgen...
102
Voted
CORR
2000
Springer
86views Education» more  CORR 2000»
15 years 3 months ago
Variable Word Rate N-grams
The rate of occurrence of words is not uniform but varies from document to document. Despite this observation, parameters for conventional n-gram language models are usually deriv...
Yoshihiko Gotoh, Steve Renals
120
Voted
TREC
2003
15 years 5 months ago
UIC at TREC-2003: Robust Track
In TREC 2003, the Database and Information System Lab (DBIS) at University of Illinois at Chicago (UIC) participate in the robust track, which is a traditional ad hoc retrieval ta...
Shuang Liu, Clement T. Yu
131
Voted
SIGIR
2008
ACM
15 years 3 months ago
Knowledge transformation from word space to document space
In most IR clustering problems, we directly cluster the documents, working in the document space, using cosine similarity between documents as the similarity measure. In many real...
Tao Li, Chris H. Q. Ding, Yi Zhang 0005, Bo Shao