The syllabus is subject to change; always get the latest version from the class website.
|Lectures:||Smith 102, Mondays and Wednesdays 1:30–2:50 pm|
|Instructor:||Noah A. Smith (firstname.lastname@example.org)|
|Instructor office hours:||CSE 532, Fridays 1:30–2:30 pm or by appointment|
|Teaching assistants:||Jesse Dodge (email@example.com)|
|Eunsol Choi (firstname.lastname@example.org)|
|Kenton Lee (email@example.com)|
|TA office hours:||CSE 220, Mondays 11:30 am–12:30 pm or by appointment|
 §2, 7.4
 §0–4, 10–13
|1/20||models||cotext: topic models||
|1/25||cotext and bitext||
|methods & applications|
|2/1||methods for sequences|
|2/3||parts of speech||
|2/8||linguistic||supersenses, entities, chunking||
|2/29||semantic roles and relations||
|translation between languages, summarization||*→*||
Natural language processing (NLP) seeks to endow computers with the ability to intelligently process human language. NLP components are used in conversational agents and other systems that engage in dialogue with humans, automatic translation between human languages, automatic answering of questions using large text collections, the extraction of structured information from text, tools that help human authors, and many, many more. This course will teach you the fundamental ideas used in key NLP components. It is organized into four parts:
Table 1 shows the planned lectures, along with readings.
Students will be evaluated as follows:
Participation points are earned by submitting proposed oral exam questions. You are expected to submit one per week, between Monday at 1:30 pm and Friday at 5:00 pm, through the appropriate catalyst link for each week: 1/4–8; 1/11–15; the rest are through the canvas site for this course.
 Julia Hirschberg and Christopher D. Manning. Advances in natural language processing. Science, 349(6245):261–266, 2015. URL https://www.sciencemag.org/content/349/6245/261.full.
 Michael Collins. Course notes for COMS w4705: Language modeling, 2011. URL http://www.cs.columbia.edu/~mcollins/courses/nlp2011/notes/lm.pdf.
 Daniel Jurafsky and James H. Martin. N-grams (draft chapter), 2015. URL https://web.stanford.edu/~jurafsky/slp3/4.pdf.
 Michael Collins. Log-linear models, MEMMs, and CRFs, 2011. URL http://www.cs.columbia.edu/~mcollins/crf.pdf.
 Yoav Goldberg. A primer on neural network models for natural language processing, 2015. URL http://u.cs.biu.ac.il/~yogo/nnlp.pdf.
 Peter D. Turney and Patrick Pantel. From frequency to meaning: Vector space models of semantics. Journal of Artificial Intelligence Research, 37(1):141–188, 2010. URL https://www.jair.org/media/2934/live-2934-4846-jair.pdf.
 Michael Collins. Statistical machine translation: IBM models 1 and 2, 2011. URL http://www.cs.columbia.edu/~mcollins/courses/nlp2011/notes/ibm12.pdf.
 Daniel Jurafsky and James H. Martin. Classification: Naive Bayes, logistic regression, sentiment (draft chapter), 2015. URL https://web.stanford.edu/~jurafsky/slp3/7.pdf.
 Michael Collins. The naive Bayes model, maximum-likelihood estimation, and the EM algorithm, 2011. URL http://www.cs.columbia.edu/~mcollins/em.pdf.
 Michael Collins. Tagging with hidden Markov models, 2011. URL http://www.cs.columbia.edu/~mcollins/courses/nlp2011/notes/hmms.pdf.
 Daniel Jurafsky and James H. Martin. Part-of-speech tagging (draft chapter), 2015. URL https://web.stanford.edu/~jurafsky/slp3/9.pdf.
 Daniel Jurafsky and James H. Martin. Information extraction (draft chapter), 2015. URL https://web.stanford.edu/~jurafsky/slp3/20.pdf.
 Daphne Koller, Nir Friedman, Lise Getoor, and Ben Taskar. Graphical models in a nutshell, 2007. URL http://www.seas.upenn.edu/~taskar/pubs/gms-srl07.pdf.
 Michael Collins. Probabilistic context-free grammars, 2011. URL http://www.cs.columbia.edu/~mcollins/courses/nlp2011/notes/pcfgs.pdf.
 Ryan McDonald, Fernando Pereira, Kiril Ribarov, and Jan Hajic. Non-projective dependency parsing using spanning tree algorithms. In Proceedings of HLT-EMNLP, 2005. URL http://www.aclweb.org/anthology/H/H05/H05-1066.pdf.
 Daniel Jurafsky and James H. Martin. Semantic role labeling (draft chapter), 2015. URL https://web.stanford.edu/~jurafsky/slp3/22.pdf.
 Mark Steedman. A very short introduction to CCG, 1996. URL http://www.inf.ed.ac.uk/teaching/courses/nlg/readings/ccgintro.pdf.
 Michael Collins. Phrase-based translation models, 2013. URL http://www.cs.columbia.edu/~mcollins/pb.pdf.
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Clear examples of cheating include (but are not limited to):
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I, , have read and understood the CSE 517 course policy on cheating. I agree to honor the rules which the policy describes.