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» Content-based language models for spoken document retrieval
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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...
AIRS
2009
Springer
16 years 17 days ago
A Latent Dirichlet Framework for Relevance Modeling
Relevance-based language models operate by estimating the probabilities of observing words in documents relevant (or pseudo relevant) to a topic. However, these models assume that ...
Viet Ha-Thuc, Padmini Srinivasan
CIKM
2008
Springer
15 years 8 months ago
Modeling multi-step relevance propagation for expert finding
An expert finding system allows a user to type a simple text query and retrieve names and contact information of individuals that possess the expertise expressed in the query. Thi...
Pavel Serdyukov, Henning Rode, Djoerd Hiemstra
JISBD
2003
15 years 7 months ago
Coupling the ontology layer with the resource layer: a rule-based approach
Abstract. Ontology languages are being proposed to provide machine-understandable descriptions of resources that permit easy location of these resource. Content managers can also b...
Jon Iturrioz, Oscar Díaz, Sergio Fern&aacut...
SIGIR
2005
ACM
15 years 11 months ago
Bootstrapping dictionaries for cross-language information retrieval
The bottleneck for dictionary-based cross-language information retrieval is the lack of comprehensive dictionaries, in particular for many different languages. We here introduce a...
Kornél G. Markó, Stefan Schulz, Olen...