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Feature Extraction and Loss training using CRFs:

By Ankan Saha


POS tagging has been a very important problem in the domain of Natural Language Processing. It has been approached at by different tools like Maximum entropy Models [3], Cyclic Dependency Networks [2] and Conditional Random Fields as well. My work mainly revolved around Conditional Random Fields, developing it as a loss function for an optimization solver and then training the loss function and using Viterbi algorithm to develop an estimator for the process.

Year: 2008
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