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WSDM
2009
ACM
113views Data Mining» more  WSDM 2009»
14 years 3 months ago
Time Will Tell: Leveraging Temporal Expressions in IR
Temporal expressions, such as between 1992 and 2000, are frequent across many kinds of documents. Text retrieval, though, treats them as common terms, thus ignoring their inherent...
Irem Arikan, Srikanta J. Bedathur, Klaus Berberich
CLEF
2009
Springer
13 years 9 months ago
Using Semantic Relatedness and Word Sense Disambiguation for (CL)IR
In this paper we report the experiments for the CLEF 2009 Robust-WSD task, both for the monolingual (English) and the bilingual (Spanish to English) subtasks. Our main experimenta...
Eneko Agirre, Arantxa Otegi, Hugo Zaragoza
CIKM
2001
Springer
14 years 1 months ago
Merging Techniques for Performing Data Fusion on the Web
Data fusion on the Web refers to the merging, into a unified single list, of the ranked document lists, which are retrieved in response to a user query by more than one Web search...
Theodora Tsikrika, Mounia Lalmas
SIGIR
2008
ACM
13 years 8 months ago
Discriminative probabilistic models for passage based retrieval
The approach of using passage-level evidence for document retrieval has shown mixed results when it is applied to a variety of test beds with different characteristics. One main r...
Mengqiu Wang, Luo Si
ECIR
2009
Springer
14 years 5 months ago
A Probabilistic Retrieval Model for Semistructured Data
Abstract. Retrieving semistructured (XML) data typically requires either a structured query such as XPath, or a keyword query that does not take structure into account. In this pap...
Jinyoung Kim, Xiaobing Xue, W. Bruce Croft