Paper ID
(Link to PDF)

Title

Author(s)

P98-1067

Toward General-Purpose Learning for Information Extraction

Dayne Freitag

55_Paper

Predicting Emotion in Spoken Dialogue from Multiple Knowledge Sources

Kate Forbes-Riley and Diane Litman

P05-2008

Using Emoticons to Reduce Dependency in Machine Learning Techniques for Sentiment Classification

Jonathon Read

N03-2018

Towards Emotion Prediction in Spoken Tutoring Dialogues

Diane Litman; Kate Forbes; Scott Silliman

211_pdf_2-col

Predicting Student Emotions in Computer-Human Tutoring Dialogues

Diane J. Litman and Kate Forbes-Riley

A92-1011

The Acquisition of Lexical Knowledge from Combined Machine-Readable Dictionary Sources

Antonio Sanfilippo; Victor Poznatlski

H01-1001

Activity detection for information access to oral communication

K. Ries; A. Waibel

T87-1037

THE ROLE OF METAPHORS IN DESCRIPTIONS OF EMOTIONS

Andrew Ortony; Lynn Fainsilber

litman

Annotating Student Emotional States in Spoken Tutoring Dialogues

Diane J. Litman and Kate Forbes-Riley

W03-04_LONG_wilson_2_sigdial03final

Annotating Opinions in the World Press

Theresa Wilson

P80-1022

THE COMPUTER AS AN ACTIVE COMMUNICATION MEDIUM

John C. Thomas

J02-3001

Automatic Labeling of Semantic Roles

Daniel Gildea; Daniel Jurafsky

C96-2162

A Unified Theory of Irony and Its Computational Formalization

Akira Utsumi

W03-14_SHORT_craggs_emotionInDialogue

Annotating emotion in dialogue

Richard Craggs

P98-2168

A Computational Model of Social Perlocutions

David Pautler; Alex Quilici