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» Statistical Language Models for Information Retrieval
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IS
2006
14 years 9 months ago
Answering content and structure-based queries on XML documents using relevance propagation
As XML documents contain both content and structure information, taking advantage of the document structure in the retrieval process can lead to better identify relevant informati...
Karen Sauvagnat, Mohand Boughanem, Claude Chrismen...
SEMWEB
2010
Springer
14 years 7 months ago
Supporting Natural Language Processing with Background Knowledge: Coreference Resolution Case
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
Volha Bryl, Claudio Giuliano, Luciano Serafini, Ka...
ECIR
2008
Springer
14 years 11 months ago
Modeling Documents as Mixtures of Persons for Expert Finding
Abstract. In this paper we address the problem of searching for knowledgeable persons within the enterprise, known as the expert finding (or expert search) task. We present a proba...
Pavel Serdyukov, Djoerd Hiemstra
IPM
2007
85views more  IPM 2007»
14 years 9 months ago
A retrospective study of a hybrid document-context based retrieval model
This paper describes our novel retrieval model that is based on contexts of query terms in documents (i.e., document contexts). Our model is novel because it explicitly takes into...
Ho Chung Wu, Robert W. P. Luk, Kam-Fai Wong, K. L....
ACL
2010
14 years 7 months ago
Entity-Based Local Coherence Modelling Using Topological Fields
One goal of natural language generation is to produce coherent text that presents information in a logical order. In this paper, we show that topological fields, which model high-...
Jackie Chi Kit Cheung, Gerald Penn