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TOPICS IN NATURAL LANGUAGE PROCESSING

Lecturer: Shay Cohen
Teaching Assistant: Nikos Papasarantopoulos
Time and Location: Monday 11am-12pm, 2.12 Appleton Tower; Thursday 11am-12pm, Lecture Theatre 2, 7 Bristo Square (semester 2)
Office Hours: Set an appointment.

SCHEDULE

Part I: Lectures

Week	No.	Date	Topic	Slides	Reading
1	1	15/1/18	Introduction and Basic Refresher	slides	Bayesian analysis in NLP, Chapter 1, sections 1.1-1.4
1	2	18/1/18	Estimation	slides	Bayesian analysis in NLP, Chapter 1, sections 1.5-1.6,A.1
2	3	22/1/18	Bayesian Learning	slides	Bayesian analysis in NLP, Chapter 2.
2	4	25/1/18	Grammar Models - Beyond Context Free	slides	Joshi and Schabes (1997), Hockenmaier and Steedman (2007), Shieber (1985), extra reading: Kallmeyer (2010)
3	5	29/1/18	Inference	slides	Linguistic Structure Prediction, Smith (2011), mostly Chapter 2, but also Chapter 5, Bayesian analysis in NLP, Chapter 5.
3	6	1/2/18	Linear Models and Learning	slides	Linguistic Structure Prediction, Smith (2011), Chapter 3
4	7	5/2/18	Neural Networks, Deep Learning and Representation Learning	slides	A Primer on Neural Network Models for Natural Language Processing, Goldberg (2015), mostly Sections 10-11
4	8	8/2/18	Learning from Incomplete Data	slides	Linguistic Structure Prediction, Smith (2011), Chapter 4

Part II: Student presentations

Click here to see a schedule

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