Lecture Notes

LEC # TOPICS
1 Introduction and Overview ( PDF )
2 Parsing and Syntax I ( PDF )
3 Smoothed Estimation, and Language Modeling ( PDF )
4 Parsing and Syntax II ( PDF )
5 The EM Algorithm ( PDF )
6 The EM Algorithm Part II ( PDF )
7 Lexical Similarity ( PDF )
8 Lexical Similarity (cont.) ( PDF )
9 Log-Linear Models ( PDF )
10 Tagging and History-based Models ( PDF )
11 Grammar Induction ( PDF )
12 Computational Modeling of Discourse ( PDF )
13 Text Segmentation ( PDF - 3.6 MB )
14 Local Coherence and Coreference ( PDF )
15 Machine Translation ( PDF )
16 Machine Translation (cont.) ( PDF )
17 Machine Translation (cont.) ( PDF 1 ) ( PDF 2 - 1.4 MB ) (Courtesy of Philipp Koehn and Ivona Kucerova. Used with permission.)
18 Graph-based Methods for NLP Applications ( PDF )
19 Word Sense Disambiguation ( PDF )
20 Global Linear Models ( PDF )
21 Global Linear Models Part II ( PDF )
22 Dialogue Processing ( PDF )
23 Dialogue Processing (cont.) ( PDF )
24 Guest Lecture: Stephanie Seneff
25 Text Summarization ( PDF )

Course Info

Learning Resource Types

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assignment Problem Sets