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» Cross-language retrieval using link-based language models
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JCDL
2005
ACM
100views Education» more  JCDL 2005»
15 years 11 months ago
Automatic extraction of titles from general documents using machine learning
In this paper, we propose a machine learning approach to title extraction from general documents. By general documents, we mean documents that can belong to any one of a number of...
Yunhua Hu, Hang Li, Yunbo Cao, Dmitriy Meyerzon, Q...
SIGIR
2003
ACM
15 years 10 months ago
Table extraction using conditional random fields
The ability to find tables and extract information from them is a necessary component of data mining, question answering, and other information retrieval tasks. Documents often c...
David Pinto, Andrew McCallum, Xing Wei, W. Bruce C...
152
Voted
RIAO
2007
15 years 6 months ago
Using Prior Information Derived from Citations in Literature Search
Researchers spent a large amount of their time searching through an ever increasing number of scientific articles. Although users of scientific search engines prefer the ranking o...
Edgar Meij, Maarten de Rijke
165
Voted
SAC
2010
ACM
15 years 10 months ago
Of mice and terms: clustering algorithms on ambiguous terms in folksonomies
Developed using the principles of the Model-View-Controller architectural pattern, FolksEngine is a parametric search engine for folksonomies that allows us to test arbitrary sear...
Nicola Raffaele Di Matteo, Silvio Peroni, Fabio Ta...
145
Voted
HICSS
2006
IEEE
163views Biometrics» more  HICSS 2006»
15 years 11 months ago
Learning Ranking vs. Modeling Relevance
The classical (ad hoc) document retrieval problem has been traditionally approached through ranking according to heuristically developed functions (such as tf.idf or bm25) or gene...
Dmitri Roussinov, Weiguo Fan