Paper ID
(Link to PDF)

Title

Author(s)

W93-0239

Issues in Linguistic Segmentation

Janyce Wiebe

T87-1007

THE BOUNDARY BETWEEN WORD KNOWLEDGE AND WORLD KNOWLEDGE

Judy Kegl

P01-1012

Detecting Problematic Turns in Human-Machine Interactions: Rule-induction Versus Memory-based Learning Approaches

Antal van den Bosch; Emiel Krahmer; Marc Swerts

55_Paper

Predicting Emotion in Spoken Dialogue from Multiple Knowledge Sources

Kate Forbes-Riley and Diane Litman

C96-1026

Mental State Adjectives: the Perspective of Generative Lexicon

Pierrette Bouillon

211_pdf_2-col

Predicting Student Emotions in Computer-Human Tutoring Dialogues

Diane J. Litman and Kate Forbes-Riley

N03-2018

Towards Emotion Prediction in Spoken Tutoring Dialogues

Diane Litman; Kate Forbes; Scott Silliman

J02-3001

Automatic Labeling of Semantic Roles

Daniel Gildea; Daniel Jurafsky

P05-2008

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

Jonathon Read

55_Paper

Predicting Emotion in Spoken Dialogue from Multiple Knowledge Sources

Kate Forbes-Riley and Diane Litman

C69-3201

SEMANTICS OF PREPOSITIONAL CONSTRUCTS IN RUSSIAN: TENTATIVE APPROACH

Adam G. Woyna

W03-14_SHORT_craggs_emotionInDialogue

Annotating emotion in dialogue

Richard Craggs

C69-6212

Analyse structurelle automatique de grouses nominaux anglais

L. Moessner

litman

Annotating Student Emotional States in Spoken Tutoring Dialogues

Diane J. Litman and Kate Forbes-Riley

W02-1011

Thumbs up? Sentiment Classification using Machine Learning Techniques

Bo Pang; Lillian Lee; Shivakumar Vaithyanathan