32 search results - page 6 / 7 » Convolution Kernels with Feature Selection for Natural Langu... |
132
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ICCPOL
2009
Springer
15 years 21 days ago
2009
Springer
Conditional random fields (CRFs) have been quite successful in various machine learning tasks. However, as larger and larger data become acceptable for the current computational ma...
126
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EMNLP
2009
15 years 22 days ago
2009
The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
105
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ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
Conditional Random Fields (CRFs) have proven to perform well on natural language processing tasks like name transliteration, concept tagging or grapheme-to-phoneme (g2p) conversio...
132
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CLEF
2006
Springer
15 years 6 months ago
2006
Springer
In this paper we present the use of a "general purpose" textual entaiment recognizer in the Answer Validation Exercise (AVE) task. Our system has been developed to learn...
117
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EMNLP
2010
15 years 28 days ago
2010
Hierarchical phrase-based (HPB) translation provides a powerful mechanism to capture both short and long distance phrase reorderings. However, the phrase reorderings lack of conte...