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» Word Particles Applied to Information Retrieval
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WWW
2011
ACM
13 years 2 months ago
Unsupervised query segmentation using only query logs
We introduce an unsupervised query segmentation scheme that uses query logs as the only resource and can effectively capture the structural units in queries. We believe that Web s...
Nikita Mishra, Rishiraj Saha Roy, Niloy Ganguly, S...
ICML
1997
IEEE
14 years 8 months ago
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
The Rocchio relevance feedback algorithm is one of the most popular and widely applied learning methods from information retrieval. Here, a probabilistic analysis of this algorith...
Thorsten Joachims
CORR
2006
Springer
142views Education» more  CORR 2006»
13 years 7 months ago
Exploiting multilingual nomenclatures and language-independent text features as an interlingua for cross-lingual text analysis a
We are proposing a simple, but efficient basic approach for a number of multilingual and cross-lingual language technology applications that are not limited to the usual two or th...
Ralf Steinberger, Bruno Pouliquen, Camelia Ignat
COLING
2008
13 years 9 months ago
Acquiring Sense Tagged Examples using Relevance Feedback
Supervised approaches to Word Sense Disambiguation (WSD) have been shown to outperform other approaches but are hampered by reliance on labeled training examples (the data acquisi...
Mark Stevenson, Yikun Guo, Robert J. Gaizauskas
IJCAI
2001
13 years 9 months ago
Mining Soft-Matching Rules from Textual Data
Text mining concerns the discovery of knowledge from unstructured textual data. One important task is the discovery of rules that relate specific words and phrases. Although exist...
Un Yong Nahm, Raymond J. Mooney