89 search results - page 3 / 18 » Named Entity Recognition: A Maximum Entropy Approach Using G... |
161
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EMNLP
2004
15 years 6 months ago
2004
Traditional word alignment approaches cannot come up with satisfactory results for Named Entities. In this paper, we propose a novel approach using a maximum entropy model for nam...
178
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SIGIR
2010
ACM
15 years 3 months ago
2010
ACM
The state-of-the-art in Named Entity Recognition relies on a combination of local features of the text and global knowledge to determine the types of the recognized entities. This...
170
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BMCBI
2008
15 years 5 months ago
2008
Chemical named entities represent an important facet of biomedical text. We have developed a system to use character-based ngrams, Maximum Entropy Markov Models and rescoring to r...
134
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ICPR
2010
IEEE
15 years 8 months ago
2010
IEEE
Appropriate feature selection is a very crucial issue in any machine learning framework, specially in Maximum Entropy (ME). In this paper, the selection of appropriate features for...
160
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ICASSP
2011
IEEE
14 years 9 months ago
2011
IEEE
Named Entity (NE) recognition from the results of Automatic Speech Recognition (ASR) is challenging because of ASR errors. To detect NEs, one of the options is to use a statistica...