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2018 | OriginalPaper | Chapter

Overview of the NLPCC 2017 Shared Task: Emotion Generation Challenge

Authors : Minlie Huang, Zuoxian Ye, Hao Zhou

Published in: Natural Language Processing and Chinese Computing

Publisher: Springer International Publishing

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Abstract

It has been a long-term goal for AI to perceive and express emotions. Inspired by Emotional Chatting Machine [1], we propose a challenge task to investigate how well a chatting machine can express emotion by generating a textual response to an input post. The task is defined as follows: given a post and a pre-specified emotion class of the generated response, the task is to generate a response that is appropriate in both topic and emotion. This challenge has attracted more 40 teams registered, and finally there are 10 teams who submitted results. In this overview paper, we will report the details of this challenge, including task definition, data preparation, annotation schema, submission statistics, and evaluation results.

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Please refer to http://tcci.ccf.org.cn/conference/2014/dldoc/evatask1.pdf.

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Title: Overview of the NLPCC 2017 Shared Task: Emotion Generation Challenge
Authors: Minlie Huang
Zuoxian Ye
Hao Zhou
Publisher: Springer International Publishing
Book: Natural Language Processing and Chinese Computing
Print ISBN: 978-3-319-73617-4

Electronic ISBN: 978-3-319-73618-1

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-73618-1_82

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