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» Comparing Automatic and Human Evaluation of NLG Systems
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ICASSP
2009
IEEE
14 years 2 months ago
Language model transformation applied to lightly supervised training of acoustic model for congress meetings
For effective training of acoustic and language models for spontaneous speech such as meetings, it is significant to exploit the texts available in a large scale, which may not b...
Tatsuya Kawahara, Masato Mimura, Yuka Akita
CIKM
1999
Springer
14 years 14 days ago
Training a Selection Function for Extraction
In this paper we compare performance of several heuristics in generating informative generic/query-oriented extracts for newspaper articles in order to learn how topic prominence ...
Chin-Yew Lin
ACL
2008
13 years 9 months ago
Trainable Generation of Big-Five Personality Styles through Data-Driven Parameter Estimation
Previous work on statistical language generation has primarily focused on grammaticality and naturalness, scoring generation possibilities according to a language model or user fe...
François Mairesse, Marilyn A. Walker
COLING
2010
13 years 3 months ago
Adaptive Development Data Selection for Log-linear Model in Statistical Machine Translation
This paper addresses the problem of dynamic model parameter selection for loglinear model based statistical machine translation (SMT) systems. In this work, we propose a principle...
Mu Li, Yinggong Zhao, Dongdong Zhang, Ming Zhou
CORR
2006
Springer
138views Education» more  CORR 2006»
13 years 8 months ago
Applying and Combining Three Different Aspect Mining Techniques
Abstract. Understanding a software system at source-code level requires understanding the different concerns that it addresses, which in turn requires a way to identify these conce...
Mariano Ceccato, Marius Marin, Kim Mens, Leon Moon...