Below we've collated all the reading links for your convenience.

Date	Topic	Reading
Tue 5/3	Introduction and Preprocessing	JM3 Ch. 2
Wed 6/3	Information Retrieval with the vector space model	IIR Chapter 6
Tue 12/3	Index compression and efficient query processing	IIR Chapter 5
Wed 13/3	Query completion and query expansion	IIR Chapter 9
Tue 19/3	Index construction and advanced queries	IIR Chapter 4 Liu, Learning to Rank for Information Retrieval , section 1.3: Learning to Rank
Wed 20/3	IR Evaluation and Learning to Rank	IIR Chapter 8
Tue 26/3	Text classification	JM3 Ch. 4 JM3 Ch. 5 alternatively E18 2.1, 4-4.1, 4.3-4.4.1
Wed 27/3	Ngram language modelling (error corrected in slides 28/3, again)	E18 Ch 6 (skipping 6.3)
Tue 2/4	Lexical semantics	JM3 C.1-C.3
Wed 3/4	Distributional semantics	E18 14-14.6 (skipping 14.4) or JM3 Ch. 15
Tue 9/4	Part of Speech Tagging	JM3 8.1-8.3, 8.5.1
Wed 10/4	Deep learning for language models and tagging	E18 6.3 (skip 6.3.1), 7.6
Tue 16/4	Information Extraction	JM3 Ch. 17 - 17.2
Wed 17/4	Question Answering	JM3 Ch. 23 (skip 23.1.7, 23.2.3, 23.3) E18 17.5.2 (skipping methods)
Mon 22/4	Easter break
Tue 30/4	Probabilistic Sequence Modelling	JM3 Ch. A.1, A.2, A.4
Wed 1/5	Language theory and automata	E18 Chapter 9.1 (skip starred parts)
Tue 7/5	Context-Free Grammars	JM3 Ch. 10.1-10.5 JM3 Ch. 11-11.2
Wed 8/5	Probabilistic Parsing (slides and notebook updated to correct mistakes, 8/5/19)	JM3 Ch. 12-12.6
Tue 14/5	Dependency parsing	JM3 Ch. 13
Wed 15/5	Discourse	JM2 Ch. 21 (21.1-21.3, 21.5-21.6)
Tue 21/5	Machine Translation, word based models	JM2 Chapter 25, intro, 25.3-25.6
Wed 22/5	Machine translation, phrase based translation and neural encoder-decoder	JM2 Chapter 25, 25.7-25.9 E18 18.3–18.3.2
Tue 28/5	Memory-enhanced models for Discourse Understanding (Fei Liu)
Wed 29/5	Subject review	exams from previous years on the library website (2017 most relevant) see LMS for solutions to 2017 exam