Predicting and Eliciting Addressee's Emotion in Online Dialogue

While there have been many attempts to estimate the emotion of an addresser from her/his utterance, few studies have explored how her/his utterance affects the emotion of the addressee. This has motivated us to investigate two novel tasks: predicting the emotion of the addressee and generating a response that elicits a specific emotion in the addressee’s mind. We target Japanese Twitter posts as a source of dialogue data and automatically build training data for learning the predictors and generators. The feasibility of our approaches is assessed by using 1099 utterance-response pairs that are built by five human workers.

[1]  R. Plutchik.  A GENERAL PSYCHOEVOLUTIONARY THEORY OF EMOTION , 1980 .

[2]  Pawel Dybala,et al.  Multiagent system for joke generation: Humor and emotions combined in human-agent conversation , 2010, J. Ambient Intell. Smart Environ..

[3]  Fakhri Karray,et al.  Survey on speech emotion recognition: Features, classification schemes, and databases , 2011, Pattern Recognit..

[4]  Diane J. Litman,et al.  Predicting Emotion in Spoken Dialogue from Multiple Knowledge Sources , 2004, NAACL.

[5]  Bo Pang,et al.  Revisiting the Predictability of Language: Response Completion in Social Media , 2012, EMNLP-CoNLL.

[6]  Alice H. Oh,et al.  Do You Feel What I Feel? Social Aspects of Emotions in Twitter Conversations , 2012, ICWSM.

[7]  Salim Roukos,et al.  Bleu: a Method for Automatic Evaluation of Machine Translation , 2002, ACL.

[8]  Hsin-Hsi Chen,et al.  Ranking Reader Emotions Using Pairwise Loss Minimization and Emotional Distribution Regression , 2008, EMNLP.

[9]  Yuji Matsumoto,et al.  Emotion Classification Using Massive Examples Extracted from the Web , 2008, COLING.

[10]  Andrew McCallum,et al.  Collective multi-label classification , 2005, CIKM '05.

[11]  Ellen Spertus,et al.  Smokey: Automatic Recognition of Hostile Messages , 1997, AAAI/IAAI.

[12]  Joseph Weizenbaum,et al.  and Machine , 1977 .

[13]  Jeffrey Pennington,et al.  Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions , 2011, EMNLP.

[14]  Jon Hasselgren,et al.  HMS: A Predictive Text Entry Method Using Bigrams , 2003 .

[15]  Rico Sennrich,et al.  Perplexity Minimization for Translation Model Domain Adaptation in Statistical Machine Translation , 2012, EACL.

[16]  Franz Josef Och,et al.  Minimum Error Rate Training in Statistical Machine Translation , 2003, ACL.

[17]  Alan Ritter,et al.  Data-Driven Response Generation in Social Media , 2011, EMNLP.

[18]  Hod Lipson,et al.  Humor as Circuits in Semantic Networks , 2012, ACL.

[19]  Patricio Martínez-Barco,et al.  Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis , 2011 .

[20]  Nina Wacholder,et al.  Identifying Sarcasm in Twitter: A Closer Look , 2011, ACL.