Intro to Computational Linguistics:
Class schedule and materials

This schedule is subject to change. A slightly more detailed list of topics (as PDF) can be found here.

Day Date Topic/slides Lab Reading
1 6 July Introduction, probability estimation, entropy
2 9 July n-gram language models distributions, estimation, likelihood JM 4.1-4.4, 4.10-4.11
3 13 July Smoothing, part-of-speech tagging JM 4.5-4.7, 5.1-5.3
4 16 July hidden Markov Models POS tagging JM 5.5, 6.1-6.5
5 20 July Parsing algorithms, human parsing JM 12.5, 13.1-13.4
6 23 July Treebanks and statistical parsing parsing JM 12.4, 14.1-14.6, 14.10
7 27 July Word senses, distributional semantics, classification JM 19.1-19.3, 20.1-20.3, 20.7
8 30 July Learning (Sharon's research) Sentiment on Twitter, data