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» Trainable Methods for Surface Natural Language Generation
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ECAI
1998
Springer
15 years 1 months ago
What You See Is What You Meant: direct knowledge editing with natural language feedback
Many kinds of knowledge-based system would be easier to develop and maintain if domain experts (as opposed to knowledge engineers) were in a position to define and edit the knowled...
Richard Power, Donia Scott, Roger Evans
JAIR
2010
158views more  JAIR 2010»
14 years 8 months ago
A Survey of Paraphrasing and Textual Entailment Methods
Paraphrasing methods recognize, generate, or extract phrases, sentences, or longer natural language expressions that convey almost the same information. Textual entailment methods...
Ion Androutsopoulos, Prodromos Malakasiotis
CVPR
1999
IEEE
15 years 1 months ago
A Volumetric Stereo Matching Method: Application to Image-Based Modeling
We formulate stereo matching as an extremal surface extraction problem. This is made possible by embedding the disparity surface inside a volume where the surface is composed of v...
Qian Chen, Gérard G. Medioni
IJCNLP
2005
Springer
15 years 3 months ago
A Case-Based Reasoning Approach for Speech Corpus Generation
Corpus-based stochastic language models have achieved significant success in speech recognition, but construction of a corpus pertaining to a specific application is a difficult ta...
Yandong Fan, Elizabeth A. Kendall
GMAI
2006
IEEE
126views Solid Modeling» more  GMAI 2006»
15 years 3 months ago
Generating Surface Textures based on Cellular Networks
This paper describes a method allowing the automatic multi-texturing and simulation of surface imperfections based on a cellular network. In this representation, networks of conne...
Stéphane Gobron, Denis Finck