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IJCAI
2007
13 years 9 months ago
Simple Training of Dependency Parsers via Structured Boosting
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
Qin Iris Wang, Dekang Lin, Dale Schuurmans
ASSETS
2007
ACM
13 years 11 months ago
SIBYLLE: a system for alternative communication adapting to the context and its user
In this paper, we describe the latest version of SIBYLLE, an AAC system that permits persons suffering from severe physical disabilities to enter text with any computer applicatio...
Tonio Wandmacher, Jean-Yves Antoine, Franck Poirie...
WMTE
2006
IEEE
14 years 1 months ago
JAMIOLAS: Supporting Japanese Mimicry and Onomatopoeia Learning with Sensors
  This  paper  proposes  a  computer  supported  ubiquitous  learning  environment  for  language  learning.  Especially,  this  paper  describes  context­  awar...
Hiroaki Ogata, Chengjiu Yin, Yoneo Yano
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 8 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
INTERSPEECH
2010
13 years 2 months ago
Online adaptive learning for speech recognition decoding
We describe a new method for pruning in dynamic models based on running an adaptive filtering algorithm online during decoding to predict aspects of the scores in the near future....
Jeff Bilmes, Hui Lin