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“Love ya, jerkface”: Using Sparse Log-Linear Models to Build Positive and Impolite Relationships with Teens
William Yang Wang
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Samantha Finkelstein
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Amy Ogan
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Alan W Black
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Justine Cassell
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Paper Details:
Month: July
Year: 2012
Location: Seoul, South Korea
Venue:
SIGDIAL |
WS |
SIG: SIGDIAL
Citations
URL
This Text Has the Scent of Starbucks: A Laplacian Structured Sparsity Model for Computational Branding Analytics
William Yang Wang
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Edward Lin
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John Kominek
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Investigating the Effect of Conveying Understanding Results in Chat-Oriented Dialogue Systems
Koh Mitsuda
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Ryuichiro Higashinaka
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Junji Tomita
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Recognizing Rare Social Phenomena in Conversation: Empowerment Detection in Support Group Chatrooms
Elijah Mayfield
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David Adamson
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Carolyn Penstein Rosé
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A computational approach to politeness with application to social factors
Cristian Danescu-Niculescu-Mizil
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Moritz Sudhof
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Dan Jurafsky
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Jure Leskovec
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Christopher Potts
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Automatic Prediction of Friendship via Multi-model Dyadic Features
Zhou Yu
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David Gerritsen
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Amy Ogan
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Alan Black
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Justine Cassell
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Automatic Recognition of Conversational Strategies in the Service of a Socially-Aware Dialog System
Ran Zhao
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Tanmay Sinha
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Alan Black
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Justine Cassell
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http://nlp.stanford.edu/software/tagger.shtml
http://www.techdictionary.com/emoticon.html
Field Of Study
Linguistic Trends
Discourse
Task
Emotion Detection
Spoken Language Processing
Language
English
Dataset
Spoken Dialog
Legal Opinions
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