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TREC
1998
14 years 11 months ago
BBN at TREC7: Using Hidden Markov Models for Information Retrieval
We present a new method for information retrieval using hidden Markov models HMMs and relate our experience with this system on the TREC-7 ad hoc task. We develop a general framew...
David R. H. Miller, Tim Leek, Richard M. Schwartz
SIGIR
2002
ACM
14 years 9 months ago
Term-specific smoothing for the language modeling approach to information retrieval: the importance of a query term
This paper follows a formal approach to information retrieval based on statistical language models. By introducing some simple reformulations of the basic language modeling approa...
Djoerd Hiemstra
IWRIDL
2006
ACM
141views Education» more  IWRIDL 2006»
15 years 4 months ago
Shallow syntax analysis in Sanskrit guided by semantic nets constraints
We present the state of the art of a computational platform for the analysis of classical Sanskrit. The platform comprises modules for phonology, morphology, segmentation and shal...
Gérard P. Huet
ACMSE
2004
ACM
15 years 3 months ago
SA_MetaMatch: relevant document discovery through document metadata and indexing
SA_MetaMatch, a component of the Standards Advisor (SA), is designed to find relevant documents through matching indices of metadata and document content. The elements in the meta...
Hiu S. Yau, J. Scott Hawker
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
15 years 10 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...