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WEBI
2005
Springer
15 years 3 months ago
A Semi-Supervised Document Clustering Algorithm Based on EM
Document clustering is a very hard task in Automatic Text Processing since it requires to extract regular patterns from a document collection without a priori knowledge on the cat...
Leonardo Rigutini, Marco Maggini
ANLP
2000
127views more  ANLP 2000»
14 years 11 months ago
Answer Extraction
Information retrieval systems have typically concentrated on retrieving a set of documents which are relevant to a user's query. This paper describes a system that attempts t...
Steven P. Abney, Michael Collins, Amit Singhal
CLEF
2004
Springer
15 years 3 months ago
Selection and Merging Strategies for Multilingual Information Retrieval
For our fourth participation in the CLEF evaluation campaigns, our objective was to verify whether our combined query translation approach would work well with new requests and new...
Jacques Savoy, Pierre-Yves Berger
SIGIR
2002
ACM
14 years 9 months ago
Cross-document summarization by concept classification
In this paper we describe a Cross Document Summarizer XDoX designed specifically to summarize large document sets (50-500 documents and more). Such sets of documents are typically...
Hilda Hardy, Nobuyuki Shimizu, Tomek Strzalkowski,...
WWW
2010
ACM
15 years 4 months ago
Sampling high-quality clicks from noisy click data
Click data captures many users’ document preferences for a query and has been shown to help significantly improve search engine ranking. However, most click data is noisy and of...
Adish Singla, Ryen W. White