69 search results - page 8 / 14 » Arabic Named Entity Recognition: Using Features Extracted fr... |
ACL
2008
14 years 11 months ago
2008
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...
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ICDAR
2009
IEEE
14 years 7 months ago
2009
IEEE
In this paper, we present a novel approach for incorporating structural information into the hidden Markov Modeling (HMM) framework for offline handwriting recognition. Traditiona...
TASLP
2008
14 years 9 months ago
2008
We describe an acoustic chord transcription system that uses symbolic data to train hidden Markov models and gives best-of-class frame-level recognition results. We avoid the extre...
BMCBI
2005
14 years 9 months ago
2005
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
GIR
2006
ACM
15 years 3 months ago
2006
ACM
Metonymic location names refer to other, related entities and possess a meaning different from the literal, geographic sense. Metonymic names are to be treated differently to im...