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» A Graph Model for Unsupervised Lexical Acquisition
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COLING
2002
13 years 4 months ago
A Graph Model for Unsupervised Lexical Acquisition
This paper presents an unsupervised method for assembling semantic knowledge from a part-ofspeech tagged corpus using graph algorithms. The graph model is built by linking pairs o...
Dominic Widdows, Beate Dorow
ICASSP
2010
IEEE
12 years 11 months ago
Unsupervised knowledge acquisition for Extracting Named Entities from speech
This paper presents a Named Entity Recognition (NER) method dedicated to process speech transcriptions. The main principle behind this method is to collect in an unsupervised way ...
Frédéric Béchet, Eric Charton
TASLP
2008
141views more  TASLP 2008»
13 years 4 months ago
Unsupervised Pattern Discovery in Speech
We present a novel approach to speech processing based on the principle of pattern discovery. Our work represents a departure from traditional models of speech recognition, where t...
A. S. Park, J. R. Glass
ICASSP
2011
IEEE
12 years 8 months ago
Unsupervised vocabulary discovery using non-negative matrix factorization with graph regularization
In this paper, we present a model for unsupervised pattern discovery using non-negative matrix factorization (NMF) with graph regularization. Though the regularization can be appl...
Meng Sun, Hugo Van hamme
ACL
2008
13 years 6 months ago
Lexicalized Phonotactic Word Segmentation
This paper presents a new unsupervised algorithm (WordEnds) for inferring word boundaries from transcribed adult conversations. Phone ngrams before and after observed pauses are u...
Margaret M. Fleck