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» Essential Dimensions of Latent Semantic Indexing (LSI)
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NLPRS
2001
Springer
13 years 12 months ago
Ensembling based on Feature Space Restructuring with Application to WSD
We propose a new ensembling method of Support Vector Machines (SVMs) based on Feature Space Restructuring. In the proposed method, the weighted majority voting method is applied f...
Hiroya Takamura, Hiroyasu Yamada, Taku Kudo, Kaoru...
CORR
2007
Springer
117views Education» more  CORR 2007»
13 years 7 months ago
Dirac Notation, Fock Space and Riemann Metric Tensor in Information Retrieval Models
Using Dirac Notation as a powerful tool, we investigate the three classical Information Retrieval (IR) models and some their extensions. We show that almost all such models can be...
Xing M. Wang
IWPC
2007
IEEE
14 years 1 months ago
Combining Formal Concept Analysis with Information Retrieval for Concept Location in Source Code
The paper addresses the problem of concept location in source code by presenting an approach which combines Formal Concept Analysis (FCA) and Latent Semantic Indexing (LSI). In th...
Denys Poshyvanyk, Andrian Marcus
EMNLP
2008
13 years 9 months ago
HTM: A Topic Model for Hypertexts
Previously topic models such as PLSI (Probabilistic Latent Semantic Indexing) and LDA (Latent Dirichlet Allocation) were developed for modeling the contents of plain texts. Recent...
Congkai Sun, Bin Gao, Zhenfu Cao, Hang Li
ICMCS
2005
IEEE
88views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Spoken document summarization using acoustic, prosodic and semantic information
This paper presents a spoken document summarization scheme using acoustic, prosodic and semantic information. First, speech recognition confidence is estimated to choose reliable ...
Chien-Lin Huang, Chia-Hsin Hsieh, Chung-Hsien Wu