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» Trainable Methods for Surface Natural Language Generation
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EMNLP
2008
14 years 11 months ago
Learning to Predict Code-Switching Points
Predicting possible code-switching points can help develop more accurate methods for automatically processing mixed-language text, such as multilingual language models for speech ...
Thamar Solorio, Yang Liu
EXPERT
2008
134views more  EXPERT 2008»
14 years 9 months ago
Learning to Tag and Tagging to Learn: A Case Study on Wikipedia
Natural language technologies have been long envisioned to play a crucial role in transitioning from the current Web to a more "semantic" Web. If anything, the significa...
Peter Mika, Massimiliano Ciaramita, Hugo Zaragoza,...
CGF
2008
126views more  CGF 2008»
14 years 9 months ago
Part-type Segmentation of Articulated Voxel-Shapes using the Junction Rule
We present a part-type segmentation method for articulated voxel-shapes based on curve skeletons. Shapes are considered to consist of several simpler, intersecting shapes. Our met...
Dennie Reniers, Alexandru Telea
ACL
2001
14 years 11 months ago
Extracting Paraphrases from a Parallel Corpus
While paraphrasing is critical both for interpretation and generation of natural language, current systems use manual or semi-automatic methods to collect paraphrases. We present ...
Regina Barzilay, Kathleen McKeown
CGF
2002
135views more  CGF 2002»
14 years 9 months ago
Slow Growing Subdivision (SGS) in Any Dimension: Towards Removing the Curse of Dimensionality
In recent years subdivision methods have been one of the most successful techniques applied to the multi-resolution representation and visualization of surface meshes. Extension t...
Valerio Pascucci