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» Training a Natural Language Generator From Unaligned Data
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IUI
2006
ACM
15 years 5 months ago
Interactive learning of structural shape descriptions from automatically generated near-miss examples
Sketch interfaces provide more natural interaction than the traditional mouse and palette tool, but can be time consuming to build if they have to be built anew for each new domai...
Tracy Hammond, Randall Davis
ACL
2009
14 years 9 months ago
Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...
NLE
2007
78views more  NLE 2007»
14 years 11 months ago
Choosing the content of textual summaries of large time-series data sets
Natural Language Generation (NLG) can be used to generate textual summaries of numeric data sets. In this paper we develop an architecture for generating short (a few sentences) s...
Jin Yu, Ehud Reiter, Jim Hunter, Chris Mellish
ICASSP
2009
IEEE
15 years 6 months ago
Resampling auxiliary data for language model adaptation in machine translation for speech
Performance of n-gram language models depends to a large extent on the amount of training text material available for building the models and the degree to which this text matches...
Sameer Maskey, Abhinav Sethy
INLG
2004
Springer
15 years 4 months ago
A Corpus-Based Methodology for Evaluating Metrics of Coherence for Text Structuring
This paper presents a novel corpus-based methodology for comparing metrics of coherence with respect to their potential usefulness for text structuring. Different definitions of ...
Nikiforos Karamanis, Chris Mellish, Jon Oberlander...