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» Corpus-based, Statistical Goal Recognition
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ACL
2008
13 years 6 months ago
Word Clustering and Word Selection Based Feature Reduction for MaxEnt Based Hindi NER
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...
Sujan Kumar Saha, Pabitra Mitra, Sudeshna Sarkar
GBRPR
2005
Springer
13 years 10 months ago
Collaboration Between Statistical and Structural Approaches for Old Handwritten Characters Recognition
Abstract. In this article we try to make different kinds of information cooperate in a characters recognition system addressing old Greek and Egyptians documents. We first use a ...
Denis Arrivault, Noël Richard, Christine Fern...
ICASSP
2011
IEEE
12 years 8 months ago
Bird species recognition combining acoustic and sequence modeling
The goal of this work was to explore modeling techniques to improve bird species classification from audio samples. We first developed an unsupervised approach to obtain approxima...
Martin Graciarena, Michelle Delplanche, Elizabeth ...
COLING
1996
13 years 6 months ago
HMM-Based Word Alignment in Statistical Translation
In this paper, we describe a new model for word alignment in statistical translation and present experimental results. The idea of the model is to make the alignment probabilities...
Stephan Vogel, Hermann Ney, Christoph Tillmann
DEBU
2006
163views more  DEBU 2006»
13 years 4 months ago
Towards Activity Databases: Using Sensors and Statistical Models to Summarize People's Lives
Automated reasoning about human behavior is a central goal of artificial intelligence. In order to engage and intervene in a meaningful way, an intelligent system must be able to ...
Tanzeem Choudhury, Matthai Philipose, Danny Wyatt,...