MIT OpenCourseWare

Browse materialsMIT 6.892 · Spring 2004

Computational Models of Discourse

Subject: Artificial Intelligence

Art: not stated, Fletcher's Combined Block Telegraph Apparatus and Bell, 1889 · Public domain

Instructor: Prof. Regina Barzilay
Term: Spring 2004
Level: Graduate
What's inside: 1 lecture note · 1 reading · 21 other files · 3 web pages
Materials open: MIT OCW

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Source: MIT OpenCourseWare 6.892 Computational Models of Discourse, Spring 2004, Prof. Regina Barzilay — original course page on ocw.mit.edu ↗. License: CC BY-NC-SA 4.0. Study order: MIT's own listing order, section by section. Taken from MIT's published course files, downloaded from ocw.mit.edu on September 23, 2026. How RedLectern is built.

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MIT OpenCourseWare, Prof. Regina Barzilay, 6.892 Computational Models of Discourse, Spring 2004.

License: CC BY-NC-SA 4.0 · Edition: Spring 2004 · Open the original course on OCW ↗

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Computational Models of Discourse

Before you start

What's here, and what isn't

Not included here

Materials by section

Lecture Notes

Other materials from this course

Lecture 1: Introduction

Lecture 2: Topic Segmentation: Agreement, Evaluation, Automatic Text Segmentation

Lecture 3: Topic Segmentation (cont.): Hierarchical Text Segmentation, Meeting Segmentation

Lecture 4: Cohesion and Local Coherence: Lexical Chains, Centering Theory; Applications to Automated Essay Scoring

Lecture 5: Automatic Reference Resolution

Lecture 6: Automatic Reference Resolution and Reference Generation

Lecture 7: Generation of Referring Expressions

Lecture 8: Domain-dependent Models of Text Structure

Lecture 9: Rhetorical Structure Theory Guest Speaker: Florian Wolf

Lecture 10: Discourse Structure in Text Summarization; Alignment

Lecture 11: Temporal Ordering in Discourse

Lecture 12: Prosody and Discourse Guest Speaker: Chao Wang

Lecture 13: Intentions and the Structure of Discourse

Lecture 14: Studies of Dialogues; Taxonomy of Speech Acts

Lecture 15: Automatic Interpretation of Dialogue Acts

Lecture 16: Learning Dialogue Strategies via Reinforcement Learning

Lecture 17: MIT Dialogue Systems

Lecture 18: Dialogue Systems

Lecture 19: Plan Recognition

Lecture 20: Evaluation for Discourse Processing

Lecture 21: Discourse in Psycholinguistics

Lecture 22: TBA