Lecture Slides

The lecture slides are in pdf format, with 4 slides per page.

• Lecture 1 (8/24): Introduction to NLP (Slides)
• Lecture 2 (8/29): Syntax: The Basics (Slides)
• Lecture 3 (8/31): Syntax: Chart Parsing (Slides)
• Lecture 4 (9/5): Syntax: Chart Parsing (cont'd - no new slides)
• Lecture 5 (9/7): Syntax: Transition Network Parsing (Slides)
• Lecture 6 (9/12): Probability; N-gram models (Slides)
• Lecture 7 (9/14): Probabilistic Algorithms (Slides)
• Lecture 8 (9/19): Probabilistic Algorithms (cont'd - no new slides)
• Lecture 9 (9/21): Probabilistic Context-Free Grammars (Slides)
• Lecture 10 (9/26): Experimental Design (Slides)
• Lecture 11 (9/28): Information Extraction (Slides)
• Lecture 12 (10/3): Semantic Lexicon Bootstrapping (Slides)
• Lecture 13 (10/10): Semantics: the basics (Slides)
• Lecture 14 (10/12): Semantics: the basics (cont'd - no new slides)
• Lecture 15 (10/19): Learning Extraction Patterns (Slides)
• Lecture 16 (10/24): Semantics: named entity recognition (Slides)
• Lecture 17 (10/26): Discourse (Slides)
• Lecture 18 (10/31): Semantics: word sense disambiguation (Slides)
• Lecture 19 (11/2): Semantics: word sense disambiguation (cont'd - no new slides)
• Lecture 20 (11/7): Transformation-based Learning (Slides)
• Lecture 21 (11/9): Conceptual Dependency Theory (Slides)
• Lecture 22 (11/14): Information Retrieval & Question Answering (Slides)
• Lecture 23 (11/16): Speech Processing & Machine Translation (Slides)
• Lecture 24 (11/21): Summarization (Slides)