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» Statistical Language Models for Information Retrieval
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SIGIR
1993
ACM
15 years 1 months 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
14 years 10 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
15 years 3 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
15 years 3 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»
13 years 5 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