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» Using Information Extraction to Improve Document Retrieval
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SIGIR
2008
ACM
15 years 6 months ago
Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization
Multi-document summarization aims to create a compressed summary while retaining the main characteristics of the original set of documents. Many approaches use statistics and mach...
Dingding Wang, Tao Li, Shenghuo Zhu, Chris H. Q. D...
CIKM
2010
Springer
15 years 4 months ago
CiteData: a new multi-faceted dataset for evaluating personalized search performance
Personalized search systems have evolved to utilize heterogeneous features including document hyperlinks, category labels in various taxonomies and social tags in addition to free...
Abhay Harpale, Yiming Yang, Siddharth Gopal, Daqin...
SIGIR
1998
ACM
15 years 10 months ago
The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries
Abstract This paper presents a method for combining query-relevance with information-novelty in the context of text retrieval and summarization. The Maximal Marginal Relevance (MMR...
Jaime G. Carbonell, Jade Goldstein
WWW
2004
ACM
16 years 6 months ago
Web-scale information extraction in knowitall: (preliminary results)
Manually querying search engines in order to accumulate a large body of factual information is a tedious, error-prone process of piecemeal search. Search engines retrieve and rank...
Oren Etzioni, Michael J. Cafarella, Doug Downey, S...
WM
2003
15 years 7 months ago
Ontologies in Cross-Language Information Retrieval
: We present an approach to using ontologies as interlingua in cross-language information retrieval in the medical domain. Our approach is based on using the Unified Medical Langu...
Martin Volk, Spela Vintar, Paul Buitelaar