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ACL
2009
15 years 4 months ago
Reinforcement Learning for Mapping Instructions to Actions
In this paper, we present a reinforcement learning approach for mapping natural language instructions to sequences of executable actions. We assume access to a reward function tha...
S. R. K. Branavan, Harr Chen, Luke S. Zettlemoyer,...
EMNLP
2009
15 years 4 months ago
Supervised Models for Coreference Resolution
Traditional learning-based coreference resolvers operate by training a mentionpair classifier for determining whether two mentions are coreferent or not. Two independent lines of ...
Md. Altaf ur Rahman, Vincent Ng
ICDAR
2009
IEEE
15 years 4 months ago
Stochastic Model of Stroke Order Variation
A stochastic model of stroke order variation is proposed and applied to the stroke-order free on-line Kanji character recognition. The proposed model is a hidden Markov model (HMM...
Yoshinori Katayama, Seiichi Uchida, Hiroaki Sakoe
ICASSP
2011
IEEE
14 years 10 months ago
A subject-independent acoustic-to-articulatory inversion
Acoustic-to-articulatory inversion is usually done in a subjectdependent manner, i.e., the inversion procedure may not work well if the parallel acoustic and articulatory training...
Prasanta Kumar Ghosh, Shrikanth S. Narayanan
ICASSP
2011
IEEE
14 years 10 months ago
A metric approach toward point process divergence
Estimating divergence between two point processes, i.e. probability laws on the space of spike trains, is an essential tool in many computational neuroscience applications, such a...
Sohan Seth, Austin J. Brockmeier, José Carl...