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» A Semi-Supervised Document Clustering Algorithm Based on EM
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EMNLP
2004
15 years 3 months ago
Trained Named Entity Recognition using Distributional Clusters
This work applies boosted wrapper induction (BWI), a machine learning algorithm for information extraction from semi-structured documents, to the problem of named entity recogniti...
Dayne Freitag
IIS
2003
15 years 3 months ago
Web Search Results Clustering in Polish: Experimental Evaluation of Carrot
Abstract. In this paper we consider the problem of web search results clustering in the Polish language, supporting our analysis with results acquired from an experimental system n...
Dawid Weiss, Jerzy Stefanowski
WCRE
1999
IEEE
15 years 6 months ago
Experiments with Clustering as a Software Remodularization Method
As valuable software systems get old, reverse engineering becomes more and more important to the companies that have to maintain the code. Clustering is a key activity in reverse ...
Nicolas Anquetil, Timothy Lethbridge
WIDM
2004
ACM
15 years 7 months ago
WISE-cluster: clustering e-commerce search engines automatically
In this paper, we propose a new approach to automatically clustering e-commerce search engines (ESEs) on the Web such that ESEs in the same cluster sell similar products. This all...
Qian Peng, Weiyi Meng, Hai He, Clement T. Yu
COLING
2010
14 years 8 months ago
Topic-Based Bengali Opinion Summarization
In this paper the development of an opinion summarization system that works on Bengali News corpus has been described. The system identifies the sentiment information in each docu...
Amitava Das, Sivaji Bandyopadhyay