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