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» Using Information Extraction to Improve Document Retrieval
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IJCNLP
2004
Springer
16 years 7 days ago
Combining Labeled and Unlabeled Data for Learning Cross-Document Structural Relationships
Multi-document discourse analysis has emerged with the potential of improving various NLP applications. Based on the newly proposed Cross-document Structure Theory (CST), this pap...
Zhu Zhang, Dragomir R. Radev
176
Voted
ACMSE
2007
ACM
15 years 11 months ago
Enhancing clustering blog documents by utilizing author/reader comments
Blogs are a new form of internet phenomenon and a vast everincreasing information resource. Mining blog files for information is a very new research direction in data mining. We p...
Beibei Li, Shuting Xu, Jun Zhang
193
Voted
IAT
2005
IEEE
16 years 14 days ago
Category-based Similarity Algorithm for Semantic Similarity in Multi-agent Information Sharing Systems
Similarity measures are mechanisms that assign a numeric score indicating how closely two documents, or a document and a query match. The Cosine measure is one of the similarity m...
Sepideh Miralaei, Ali A. Ghorbani
DIS
2006
Springer
15 years 8 months ago
Interesting Patterns Extraction Using Prior Knowledge
Abstract. One important challenge in data mining is to extract interesting knowledge and useful information for expert users. Since data mining algorithms extracts a huge quantity ...
Laurent Brisson
IADIS
2004
15 years 8 months ago
Simplifying the Clickstream Retrieval Using Weblogger Tool
Data Webhouses are used to retain all the information related to web user's behavior within a web site, working as a shared repository of business data. The advent of e-busin...
João Silva, João Bernardino