CS 295: Statistical NLP Winter 2018
Resources
Books
- Recommended: Jurafsky and Martin: Speech and Language Processing (2nd edition), Prentice Hall (2008) Amazon, 3rd edition (w/ draft chapters)
- Manning and Schuetze, Foundations of Statistical Natural Language Processing, MIT Press (1999) Website, Amazon, Online version (free if on campus)
- Noah Smith, Linguistic Structure Prediction, Morgan and Claypool (2011) Website, Online version (free if on campus)
- Emily Bender, Linguistic Fundamentals for Natural Language Processing: 100 Essentials from Morphology and Syntax, Morgan and Claypool (2013) Online version (free if on campus)
- Bird, Klein, and Loper, Natural Language Processing with Python, O’Reilly (2009) Amazon
Papers
The following are neither the most representative, influential, or "best" papers in NLP, but instead a somewhat diverse selection of recent papers.
- J. Pennington, R. Socher and C. D. Manning. GloVe: Global Vectors for Word Representation. Empirical Methods in Natural Language Processing (EMNLP). 2014
- H. Daume. Frustratingly easy domain adaptation. Association for Computational Linguistics (ACL). 2007
- C. Tan, L. Lee, and B. Pang. The effect of wording on message propagation: Topic- and author-controlled natural experiments on Twitter. Association for Computational Linguistics (ACL). 2014
- X. Zhang, J. Zhao, and Y. LeCun. Character-level Convolutional Networks for Text Classification. Neural Information Processing Systems (NIPS). 2015
- I. Sutskever, O. Vinyals and Q. V. Le. Sequence to Sequence Learning with Neural Networks. Neural Information Processing Systems (NIPS). 2014
- R. McDonald, F. Pereira, K. Ribarov and J. Hajic. Non-projective Dependency Parsing Using Spanning Tree Algorithms. Empirical Methods in Natural Language Processing (EMNLP). 2005
- X. Ling, S. Singh and D. Weld. Design Challenges for Entity Linking. Transactions of the Association for Computational Linguistics (TACL). 2015
- G. Durrett and D. Klein. Easy Victories and Uphill Battles in Coreference Resolution. Empirical Methods in Natural Language Processing (EMNLP). 2013
- J. Berant, A. Chou, R. Frostig and P. Liang. Semantic Parsing on Freebase from Question-Answer Pairs. Empirical Methods in Natural Language Processing (EMNLP). 2013
- S. Riedel, L. Yao, A. McCallum, and B. M. Marlin. Relation extraction with matrix factorization and universal schemas. North-American Association for Computational Linguistics (NAACL). 2013
Software Resources