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CLEF
2004
Springer
14 years 1 months ago
How Do Named Entities Contribute to Retrieval Effectiveness?
Named entities in topics are a major factor contributing to the quality of retrieval results. In this paper, we report on an analysis on the correlation between the number of named...
Thomas Mandl, Christa Womser-Hacker
SIGIR
2010
ACM
13 years 11 months ago
Positional relevance model for pseudo-relevance feedback
Pseudo-relevance feedback is an effective technique for improving retrieval results. Traditional feedback algorithms use a whole feedback document as a unit to extract words for ...
Yuanhua Lv, ChengXiang Zhai
TREC
2003
13 years 9 months ago
Identifying Gene Function Descriptions by Probability-based Sentence Selection
This paper proposes an approach to the secondary task in the TREC Genomics Track. We regard the task as identification of the sentences describing gene functions (i.e., GeneRIFs)...
Kazuhiro Seki, Nihar Sheth, Javed Mostafa
AI
2008
Springer
14 years 2 months ago
Finding Topics in Email Using Formal Concept Analysis and Fuzzy Membership Functions
In this paper, we present a method to identify topics in email messages. The formal concept analysis is adopted as a semantic analysis method to group emails containing the same ke...
Liqiang Geng, Larry Korba, Yunli Wang, Xin Wang, Y...
COLING
2010
13 years 2 months ago
Bipolar Person Name Identification of Topic Documents Using Principal Component Analysis
In this paper, we propose an unsupervised approach for identifying bipolar person names in a set of topic documents. We employ principal component analysis (PCA) to discover bipol...
Chien Chin Chen, Chen-Yuan Wu