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» Statistical Language Models for Information Retrieval
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SIGIR
1993
ACM
14 years 17 days ago
A Model of Information Retrieval Based on a Terminological Logic
According to the logical model of Information Retrieval (IR), the task of IR can be described as the extraction, from a given document base, of those documents d that, given a que...
Carlo Meghini, Fabrizio Sebastiani, Umberto Stracc...
APCCM
2009
13 years 9 months ago
Extracting and Modeling the Semantic Information Content of Web Documents to Support Semantic Document Retrieval
Existing HTML mark-up is used only to indicate the structure and lay-out of documents, but not the document semantics. As a result web documents are difficult to be semantically p...
Shahrul Azman Noah, Lailatulqadri Zakaria, Arifah ...
SIGIR
2006
ACM
14 years 2 months ago
Mining dependency relations for query expansion in passage retrieval
Classical query expansion techniques such as the local context analysis (LCA) make use of term co-occurrence statistics to incorporate additional contextual terms for enhancing pa...
Renxu Sun, Chai-Huat Ong, Tat-Seng Chua
SIGIR
2005
ACM
14 years 2 months ago
Integrating word relationships into language models
In this paper, we propose a novel dependency language modeling approach for information retrieval. The approach extends the existing language modeling approach by relaxing the ind...
Guihong Cao, Jian-Yun Nie, Jing Bai
WSDM
2012
ACM
309views Data Mining» more  WSDM 2012»
12 years 4 months ago
Mining contrastive opinions on political texts using cross-perspective topic model
This paper presents a novel opinion mining research problem, which is called Contrastive Opinion Modeling (COM). Given any query topic and a set of text collections from multiple ...
Yi Fang, Luo Si, Naveen Somasundaram, Zhengtao Yu