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» A Neural Probabilistic Language Model
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ACL
2003
14 years 11 months ago
Unsupervised Learning of Dependency Structure for Language Modeling
This paper presents a dependency language model (DLM) that captures linguistic constraints via a dependency structure, i.e., a set of probabilistic dependencies that express the r...
Jianfeng Gao, Hisami Suzuki
FLAIRS
2008
15 years 13 hour ago
Learning a Probabilistic Model of Event Sequences from Internet Weblog Stories
One of the central problems in building broad-coverage story understanding systems is generating expectations about event sequences, i.e. predicting what happens next given some a...
Mehdi Manshadi, Reid Swanson, Andrew S. Gordon
100
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ICTAI
2006
IEEE
15 years 3 months ago
Hierarchical Language Models for Expert Finding in Enterprise Corpora
Enterprise corpora contain evidence of what employees work on and therefore can be used to automatically find experts on a given topic. We present a general approach for represen...
Desislava Petkova, W. Bruce Croft
AMFG
2007
IEEE
255views Biometrics» more  AMFG 2007»
15 years 1 months ago
A New Probabilistic Model for Recognizing Signs with Systematic Modulations
Abstract. This paper addresses an aspect of sign language (SL) recognition that has largely been overlooked in previous work and yet is integral to signed communication. It is the ...
Sylvie C. W. Ong, Surendra Ranganath
TNN
2010
174views Management» more  TNN 2010»
14 years 4 months ago
Equivalences between neural-autoregressive time series models and fuzzy systems
Soft computing (SC) emerged as an integrating framework for a number of techniques that could complement one another quite well (artificial neural networks, fuzzy systems, evolutio...
José Luis Aznarte, José Manuel Ben&i...