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» Topic Analysis for Psychiatric Document Retrieval
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SIGIR
2004
ACM
14 years 4 days ago
Focused named entity recognition using machine learning
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
Li Zhang, Yue Pan, Tong Zhang
CLEF
2006
Springer
13 years 10 months ago
Monolingual and Bilingual Experiments in GeoCLEF2006
This paper presents the results of our initial experiments in the monolingual English, Spanish and Portuguese tasks and the Bilingual Spanish English, Spanish Portuguese, Englis...
Rocio Guillén
DAS
2006
Springer
13 years 10 months ago
Toward File Consolidation by Document Categorization
An efficient adaptive document classification and categorization approach is proposed for personal file creation corresponding to user's specific needs and profile. This kind ...
Abdel Belaïd, André Alusse
SDM
2011
SIAM
370views Data Mining» more  SDM 2011»
12 years 9 months ago
Sparse Latent Semantic Analysis
Latent semantic analysis (LSA), as one of the most popular unsupervised dimension reduction tools, has a wide range of applications in text mining and information retrieval. The k...
Xi Chen, Yanjun Qi, Bing Bai, Qihang Lin, Jaime G....
CIKM
2005
Springer
14 years 8 days ago
Similarity measures for tracking information flow
Text similarity spans a spectrum, with broad topical similarity near one extreme and document identity at the other. Intermediate levels of similarity – resulting from summariza...
Donald Metzler, Yaniv Bernstein, W. Bruce Croft, A...