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ACL
2008
15 years 8 months ago
Combining Multiple Resources to Improve SMT-based Paraphrasing Model
This paper proposes a novel method that exploits multiple resources to improve statistical machine translation (SMT) based paraphrasing. In detail, a phrasal paraphrase table and ...
Shiqi Zhao, Cheng Niu, Ming Zhou, Ting Liu, Sheng ...
IJCAI
2007
15 years 8 months ago
Online Learning and Exploiting Relational Models in Reinforcement Learning
In recent years, there has been a growing interest in using rich representations such as relational languages for reinforcement learning. However, while expressive languages have ...
Tom Croonenborghs, Jan Ramon, Hendrik Blockeel, Ma...
CSDA
2006
117views more  CSDA 2006»
15 years 7 months ago
Exact maximum likelihood estimation of structured or unit root multivariate time series models
TheexactlikelihoodfunctionofaGaussianvectorautoregressive-movingaverage(VARMA)model is evaluated in two nonstandard cases: (a) a parsimonious structured form, such as obtained in ...
Guy Mélard, Roch Roy, Abdessamad Saidi
COLING
2002
15 years 7 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
2011
IEEE
14 years 10 months ago
Global variance modeling on frequency domain delta LSP for HMM-based speech synthesis
The speech parameter generation algorithm considering global variance (GV) for HMM-based speech synthesis proved to be effective against the over-smoothing problem. However, the c...
Shifeng Pan, Yoshihiko Nankaku, Keiichi Tokuda, Ji...