| Date |
Topic |
References |
| 9/8 |
Introduction and Overview
| |
| 9/13 |
Parsing and Syntax I
| |
| 9/15 |
Smoothed Estimation, and Language Modeling
| |
| 9/20 |
Parsing and Syntax II
| |
| 9/22 |
The EM Algorithm
| |
| 9/27 |
The EM Algorithm Part II
| |
| 9/29 |
Lexical Similarity
| |
| 10/4 |
Lexical Similarity
| |
| 10/6 |
Log-Linear Models
| |
| 10/11 |
No class: MIT holiday
| |
| 10/13 |
Tagging and History-Based Models
| |
| 10/18 |
Grammar Induction
| |
| 10/20 |
Computational Modeling of Discourse
| |
| 10/25 |
Text Segmentation
| |
| 10/27 |
Midterm
| |
| 11/1 |
Local Coherence and Coreference
| |
| 11/3 |
Machine Translation
| |
| 11/8 |
Machine Translation
| |
| 11/10 |
Machine Translation
| |
| 11/15 |
Graph-based methods for NLP applications
| |
| 11/17 |
Word Sense Disambiguation
| |
| 11/22 |
Global linear models
| |
| 11/24 |
No class: MIT holiday
| |
| 11/29 |
Global linear models part II
| |
| 12/1 |
Dialogue Processing
| |
| 12/6 |
Dialogue Processing
| |
| 12/8 |
Guest Lecture: Stephanie Seneff
| |
| 12/13 |
Text Summarization
| |