Natural Language Processing

Some Handouts are Listed Below:

• Course Overview 

• Mathematical Foundations

• Linguistic Essentials 

• Vector Semantics and Embeddings

• Sequence Labeling for Parts of Speech and Name Entities

• Parsing with Context-Free Grammars 

• Machine Translation 

• Chatbots and Dialogue Systems 

• Automatic Summarization 

References:

• D. Jurafsky and J. H. Martin, Speech and Language Processing, Prentice-Hall, (ed. 1, 2 & 3).

• C. Manning and H. Schutze, Foundations of Statistical Natural Language Processing, MIT Press, 1999.

• J. Allen, Natural Language Understanding, Benjamin/Cummings Publishing Co, 1995.

• X. Huang, A. Acero, H. Hon, Spoken Language Processing, Prentice Hall, 2001.