6.864
Advanced Natural Language Processing
Fall 2005
Topics
- Introduction and Overview
- Parsing and Syntax I
- Smoothed Estimation, and Language Modeling
- Parsing and Syntax II
- The EM Algorithm
- The EM Algorithm Part II
- Lexical Similarity
- Lexical Similarity (cont.)
- Log-Linear Models
- Tagging and History-based Models
- Grammar Induction
- Computational Modeling of Discourse
- Text Segmentation
- Local Coherence and Coreference
- Machine Translation
- Machine Translation (cont.)
- Graph-based Methods for NLP Applications
- Word Sense Disambiguation
- Global Linear Models
- Global Linear Models Part II
- Dialogue Processing
- Dialogue Processing (cont.)
- Guest Lecture: Stephanie Seneff
- Text Summarization
Readings
- Jurafsky, David, and James H. Martin. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition . Upper Saddle River, NJ: Prentice-Hall, 2000. ISBN: 0130950696.
Sources
- Course catalogue ↗Historical OpenCourseWare
- MIT OCW calendar ↗
- MIT OCW syllabus ↗
- Historical MIT OpenCourseWare offering. Named reading entries and schedule topics are automatically extracted from the linked source pages.