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» Performance evaluation for text processing of noisy inputs
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ICONIP
2008
13 years 9 months ago
Local Feature Selection in Text Clustering
Abstract. Feature selection has improved the performance of text clustering. Global feature selection tries to identify a single subset of features which are relevant to all cluste...
Marcelo N. Ribeiro, Manoel J. R. Neto, Ricardo Bas...
SIGIR
2004
ACM
14 years 1 months ago
Web-page classification through summarization
Web-page classification is much more difficult than pure-text classification due to a large variety of noisy information embedded in Web pages. In this paper, we propose a new Web...
Dou Shen, Zheng Chen, Qiang Yang, Hua-Jun Zeng, Be...
TSD
2010
Springer
13 years 5 months ago
Comparison of Different Lemmatization Approaches through the Means of Information Retrieval Performance
This paper presents a quantitative performance analysis of two different approaches to the lemmatization of the Czech text data. The first one is based on manually prepared diction...
Jakub Kanis, Lucie Skorkovská
LREC
2008
137views Education» more  LREC 2008»
13 years 9 months ago
The TextPro Tool Suite
We present TextPro, a suite of modular Natural Language Processing (NLP) tools for analysis of Italian and English texts. The suite has been designed so as to integrate and reuse ...
Emanuele Pianta, Christian Girardi, Roberto Zanoli
CVPR
2006
IEEE
14 years 10 months ago
Animals on the Web
We demonstrate a method for identifying images containing categories of animals. The images we classify depict animals in a wide range of aspects, configurations and appearances. ...
Tamara L. Berg, David A. Forsyth