Emotion and behaviour in automatic dialogue summarisation

This paper presents an overview of a six-year research project on automatic summarisation of emotional and behavioural features in dialogues. It starts by describing some evidence for the hypothesis that whenever a dialogue features very impolite behaviour, this behaviour will tend to be described in the dialogue's summary, with a bias influenced by the summariser's viewpoint. It also describes the role some experiments played in providing useful information on when and how assessments of emotion and behaviour should be added to a dialogue summary, along with the necessary steps (such as the development of a multi-dimensional annotation scheme) to use these experimental results as a starting point for the automatic production of summaries. Finally, it introduces an automatic dialogue summariser capable of combining technical and emotional or behavioural information in its output summaries.

[1]  Yasuhiro Katagiri,et al.  TelMeA2003: social summarization in online communities , 2003, CHI Extended Abstracts.

[2]  Shogo Nishida,et al.  Social summarization of text feedback for online auctions and interactive presentation of the summary , 2006, IUI '06.

[3]  Alon Lavie,et al.  Increasing the Coherence of Spoken Dialogue Summaries by Cross-Speaker Information Linking , 2001 .

[4]  Michael Kearns,et al.  CobotDS: a spoken dialogue system for chat , 2002, AAAI/IAAI.

[5]  Trevor Hastie,et al.  An exploration of sentiment summarization , 2003 .

[6]  Ehud Reiter,et al.  Book Reviews: Building Natural Language Generation Systems , 2000, CL.

[7]  Brigitte Krenn,et al.  Fully generated scripted dialogue for embodied agents , 2008, Artif. Intell..

[8]  Brigitte Krenn,et al.  RRL: A Rich Representation Language for the Description of Agent Behaviour in NECA , 2004, ArXiv.

[9]  E. Vesterinen,et al.  Affective Computing , 2009, Encyclopedia of Biometrics.

[10]  Paul Piwek,et al.  Politeness and Bias in Dialogue Summarization: Two Exploratory Studies , 2006, Computing Attitude and Affect in Text.

[11]  Eduard H. Hovy,et al.  Automatic Evaluation of Summaries Using N-gram Co-occurrence Statistics , 2003, NAACL.

[12]  Ralph Gross,et al.  Multimodal Meeting Tracker , 2000, RIAO.

[13]  Paul Piwek,et al.  What is NLG? , 2002, INLG.

[14]  Megumi Kameyama,et al.  A real-time system for summarizing human-human spontaneous spoken dialogues , 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

[15]  John R. Searle,et al.  Speech Acts: An Essay in the Philosophy of Language , 1970 .

[16]  Norbert Reithinger,et al.  Summarizing Multilingual Spoken Negotiation Dialogues , 2000, ACL.

[17]  Paul Piwek,et al.  D3a: Specification of Scene Descriptions for the NECA Domains , 2002 .