NATURAL LANGUAGE PROCESSING FOR EXTRACTING SOCIAL AND INTERACTIONAL MEANING
(CS 3710 / ISSP 3565: Advanced Topics in Artificial Intelligence, Fall 2012)
Instructor
Diane Litman
Where & When Tuesday and Thursdays 11:30-12:45, SENSQ 6329 (Board Room) ***NOTE ROOM CHANGE***
Office Hours After class or by appointment
Description Many interactions are increasingly recorded online in text and speech. This course introduces computational methods for analyzing social and interactional meaning from natural language data. Topics to be studied included the detection of emotion (angry, happy), personality (extrovert, introvert), medical states (depressed), style (flirtatious, polite), power (supervisor, employee), intention (deception). Data to be examined will come from online reviews, blogs, email, twitter, dating sites and other social media, as well as from more traditional communication modes. Students will lead one or more class discussions, participate in the other discussions, and complete a group (2-3 people) course project.

Prerequisites: Natural Language Processing OR consent of the instructor ***NOTE CHANGE***

Required Work Group Course Project (45%): proposal/progress: 10%, presentation: 10%, report: 25%
Class Presentations of Topics (25%): leading 2 classes 20%, presenting 2 optional papers: 5%
Commentaries on other Readings (25%): due 11:00am the day before
Homeworks (5%): due 11:59pm the night before
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Date/Lead
Materials

Topic and Readings

August 28
Litman
NB (CHI 2012)

Homework

Welcome and Adminstration

August 30
Litman
Slides

Speech: Fundamentals

  • Jurafsky and Martin. 2009. Speech and Language Processing: Acoustics (Sections 7.4.1-7.4.3, pages 230-235), Prosody (Section 8.3, pages 262-271), and ASR Feature Extraction (Section 9.3 introduction, page 295)
September 4
Litman
Homework

Commentary Instructions

Optional Paper Instructions

Presentation Instructions

Speech: Fundamentals (continued)

September 6
Litman
Slides

Homework

Emotion: Theory, and Case Studies in Speech

Optional:
September 11
No class (Interspeech Conference)
Work on homework

Lab for Praat, Twitter, Linguistic Inquiry Word Count

Praat: Optional PRAAT resources: Twitter Lexical resources: Optional LIWC Readings:
September 13
Conrad
Interspeech 2010 Paralinguistic Challenge

Emotion: Recent Work in Speech and Text

Optional (Pham):
September 18
Rahimi
Short paper review form

Sarcasm

Optional (Hashemi):
September 20
Pham
 

Psychological Word Use Approaches; Computational Approaches to Medical State: Depression

Optional (Nguyen):
September 25
Deng
Alcohol Language Corpus

Interspeech 2011 Intoxication and Sleepiness Challenge

Computational Approaches to Medical States/Mood

Optional (Zhang):
September 27
Mayfield
Project Instructions

More evidence that sarcasm recognition is hard

Other Medical States

Optional (Choi):
October 2
Thomason
 

Interpersonal Stance

Optional (Conrad):
October 4
Zhang
 

Charisma and Speaker Traits

Optional (Mayfield):
October 9  

No Class (Pitt Monday classes on Tuesdays)

October 11
Choi
Homework

Predicting Suicide Intent DARPA Workshop

Personality in Text and Conversation

Optional (Wang):
October 16
Thomason
 

Accommodation (one of many terms)

Optional (Deng): For your reference:
October 18
Luo
Map Task Homepage

Accommodation (mostly text): Computational Approaches

Optional (Conrad)
  • David Reitter and Johanna D. Moore. 2007. Predicting success in dialogue. Proc. 45th Annual Meeting of the Association of Computational Linguistics, pages 808-815.
October 23
Nguyen
 

Accommodation (mostly speech): Computational Approaches

Optional (Thomason)
October 25
Mayfield
 

Positioning and Authority: Power

Optional (Luo)
October 30
Conrad
Enron Corpus

Positioning and Authority: Power

Optional (Deng)
November 1
Wang
 

Influence (Positioning and Authority, continued); Virality/Memorability

Optional (Choi)
November 6
Hashemi
MemeTracker

Influence (Positioning and Authority, continued); Virality/Memorability

Optional (Nguyen)
November 8
Zhang
 

Business or Personal? (genre as formality)

Optional (Pham):
November 13
Choi
 

Politeness

Optional (Wang):
November 15
Luo
CSC corpus

Deception: An Introduction, and Speech

  • B. DePaulo, J. Lindsay, B. Malone, L. Muhlenbruck, K. Charlton, and H. Cooper. 2003. Cues to Deception. Psychological Bulletin 19:1, pp. 74-118.
  • Julia Hirschberg, Stefan Benus, Jason M. Brenier, Frank Enos, Sarah Friedman, Sarah Gilman, Cynthia Girand, Martin Graciarena, Andreas Kathol, Laura Michaelis, Bryan Pellom, Elizabeth Shriberg, Andreas Stolcke. 2005. Distinguishing deceptive from non-deceptive speech. Proc. Eurospeech.
Optional (Zhang)
November 20
Pham
Workshop on Computational Approaches to Deception Detection, EACL 2012

Workshop on Vision(s) on Deception and Non-Cooperation, FG 2013

Deception in Text

Optional (Rahimi)
November 27
Nguyen
Don't Rely on Web Reviews of Hotels

NY Times

Deception in Text

Optional (Luo):
November 29
Wang
 

Biographic Attributes: Gender

Optional (Mayfield)
December 4
Rahini
 

Other Biographic (Age) and Demographic Attributes

Optional (Hashemi):
December 6
Deng
 

Other Biographic (Age) and Demographic Attributes

Optional (Thomason)
December 11
Hashemi
 

Biographic Attributes: Gender

Optional (Rahimi)
December 13  

Project Presentations

Acknowledgements: Inspiration for this course came from the syllabi of Profs. Hirschberg, Jurafsky and Lee.