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» Document Retrieval using a Probabilistic Knowledge Model
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CIKM
2008
Springer
13 years 8 months ago
A latent variable model for query expansion using the hidden markov model
We propose a novel probabilistic method based on the Hidden Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed...
Qiang Huang, Dawei Song
CIKM
2008
Springer
13 years 8 months ago
Combining concept hierarchies and statistical topic models
Statistical topic models provide a general data-driven framework for automated discovery of high-level knowledge from large collections of text documents. While topic models can p...
Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyv...
JCDL
2006
ACM
92views Education» more  JCDL 2006»
14 years 20 days ago
Probabilistic, object-oriented logics for annotation-based retrieval in digital libraries
In this paper we introduce POLAR, a probabilistic objectoriented logical framework for annotation-based information retrieval. In POLAR, the knowledge about digital objects, annot...
Ingo Frommholz, Norbert Fuhr
NLPRS
2001
Springer
13 years 11 months ago
Japanese Information Retrieval Method Using Syntactic and Statistical Information
This paper presents a Japanese information retrieval method using the dependency relationship between words and semantic and statistical information about them. Our method gives a...
Tsunenori Mine, Hiroki Fujitani, Makoto Amamiya
ICTAI
2008
IEEE
14 years 1 months ago
Fuzzy Information Retrieval Model Based on Multiple Related Ontologies
– With the World Wide Web popularity the information retrieval area has a new challenge intending to retrieve information resources by their meaning by using a knowledge base. No...
Maria Angelica A. Leite, Ivan L. M. Ricarte