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SIGIR ’94
Document and Passage Retrieval Based on Hidden Markov Models
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Author(s):
Elke Mittendorf
,
Peter Schäuble
Publication date
(Print):
1994
Publisher:
Springer London
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Term-weighting approaches in automatic text retrieval
Gerard Salton
,
Christopher Dominic Buckley
(1988)
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An Algorithm for Vector Quantizer Design
Y Linde
,
A. Buzo
,
R. Gray
(1980)
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An Introduction to the Application of the Theory of Probabilistic Functions of a Markov Process to Automatic Speech Recognition
S. Levinson
,
L. R. Rabiner
,
M Sondhi
(1983)
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Book Chapter
Publication date (Print):
1994
Pages
: 318-327
DOI:
10.1007/978-1-4471-2099-5_33
SO-VID:
56e416e9-50fc-4e4e-a2d2-3065e4ca8734
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Book chapters
pp. 3
A Sequential Algorithm for Training Text Classifiers
pp. 13
Expert Network: Effective and Efficient Learning from Human Decisions in Text Categorization and Retrieval
pp. 202
Results of Applying Probabilistic IR to OCR Text
pp. 23
Towards Language Independent Automated Learning of Text Categorization Models
pp. 61
Query Expansion using Lexical-Semantic Relations
pp. 101
Polyrepresentation of Information Needs and Semantic Entities Elements of a Cognitive Theory for Information Retrieval Interaction
pp. 142
Word Sense Disambiguation and Information Retrieval
pp. 192
OHSUMED: An Interactive Retrieval Evaluation and New Large Test Collection for Research
pp. 222
Inferring Probability of Relevance Using the Method of Logistic Regression
pp. 232
Some Simple Effective Approximations to the 2-Poisson Model for Probabilistic Weighted Retrieval
pp. 272
Information Filtering Based on User Behavior Analysis and Best Match Text Retrieval
pp. 292
The Effect of Adding Relevance Information in a Relevance Feedback Environment
pp. 302
Passage-Level Evidence in Document Retrieval
pp. 311
Effective Retrieval of Structured Documents
pp. 318
Document and Passage Retrieval Based on Hidden Markov Models
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