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» Using Information Extraction to Improve Document Retrieval
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SIGIR
2006
ACM
16 years 16 days ago
Answering complex questions with random walk models
We present a novel framework for answering complex questions that relies on question decomposition. Complex questions are decomposed by a procedure that operates on a Markov chain...
Sanda M. Harabagiu, V. Finley Lacatusu, Andrew Hic...
SAC
2005
ACM
16 years 5 days ago
A hierarchical naive Bayes mixture model for name disambiguation in author citations
Because of name variations, an author may have multiple names and multiple authors may share the same name. Such name ambiguity affects the performance of document retrieval, web ...
Hui Han, Wei Xu, Hongyuan Zha, C. Lee Giles
ADC
2004
Springer
107views Database» more  ADC 2004»
16 years 9 hour ago
Challenges in Enterprise Search
Concerted research effort since the nineteen fifties has lead to effective methods for retrieval of relevant documents from homogeneous collections of text, such as r archives,...
David Hawking
ACL
2003
15 years 8 months ago
Unsupervised Learning of Arabic Stemming Using a Parallel Corpus
This paper presents an unsupervised learning approach to building a non-English (Arabic) stemmer. The stemming model is based on statistical machine translation and it uses an Eng...
Monica Rogati, J. Scott McCarley, Yiming Yang
WIDM
2004
ACM
16 years 19 hour ago
User evaluation of the NASA technical report server recommendation service
We present the user evaluation of two recommendation server methodologies implemented for the NASA Technical Report Server (NTRS). One methodology for generating recommendations u...
Michael L. Nelson, Johan Bollen, JoAnne R. Calhoun...