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coursera-nlp (129 files)
Type: Course
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Bibtex:
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Bibtex:
@article{, title= {[Coursera] Natural Language Processing}, keywords= {}, journal= {}, author= {Michael Collins (Columbia University)}, year= {}, url= {}, license= {}, abstract= {Course Description: COMS W4705 is a graduate introduction to natural language processing, the study of human language from a computational perspective. We will cover syntactic, semantic and discourse processing models. The emphasis will be on machine learning or corpus-based methods and algorithms. We will describe the use of these methods and models in applications including syntactic parsing, information extraction, statistical machine translation, dialogue systems, and summarization. Syllabus: Here is a tentative syllabus for class: Introduction Estimation techniques, and language modeling Tagging, hidden Markov models Statistical parsing Machine translation Log-linear models Conditional random fields, global linear models Unsupervised and semi-supervised learning in NLP}, superseded= {}, terms= {} }