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ASSETS
2008
ACM
13 years 9 months ago
Adapting word prediction to subject matter without topic-labeled data
Word prediction helps to increase communication rate when using Augmentative and Alternative Communication devices. Basic prediction systems offer topically inappropriate predicti...
Keith Trnka
IEICET
2008
110views more  IEICET 2008»
13 years 7 months ago
Language Modeling Using PLSA-Based Topic HMM
In this paper, we propose a PLSA-based language model for sports live speech. This model is implemented in unigram rescaling technique that combines a topic model and an n-gram. I...
Atsushi Sako, Tetsuya Takiguchi, Yasuo Ariki
JOCN
2010
73views more  JOCN 2010»
13 years 2 months ago
Is There Pain in Champagne? Semantic Involvement of Words within Words during Sense-making
In an ERP experiment, we examined whether listeners, when making sense of spoken utterances, take into account the meaning of spurious words that are embedded in longer words, eit...
Petra M. van Alphen, Jos J. A. Van Berkum
KDD
2006
ACM
177views Data Mining» more  KDD 2006»
14 years 7 months ago
Topics over time: a non-Markov continuous-time model of topical trends
This paper presents an LDA-style topic model that captures not only the low-dimensional structure of data, but also how the structure changes over time. Unlike other recent work t...
Xuerui Wang, Andrew McCallum
ISI
2006
Springer
13 years 7 months ago
An Embedded Bayesian Network Hidden Markov Model for Digital Forensics
In the paper we combine a Bayesian Network model for encoding forensic evidence during a given time interval with a Hidden Markov Model (EBN-HMM) for tracking and predicting the de...
Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tib&...