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Emotion and Cause: Linguistic Theory and Computational Implementation
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Sophia Yat Mei Lee
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Springer Singapore
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2020
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Contents

Landmarks

Studies in East Asian Linguistics

Editors-in-Chief

Jong-Bok Kim and Chu-Ren Huang

Associate Editors

Shirley N. Dita , Yasunari Harada , Victoria Rau , John Wakefield and Jie Xu

The series will publish studies in the general and interdisciplinary area of linguistics with a particular focus on East Asian languages. The series will feature not only formally but also empirically oriented work on any aspect of the theoretical analysis or processing of the languages.

The topics of the series include a variety of language studies (syntax, semantics, pragmatics, phonology, morphology, corpus linguistics, historical linguistics, discourse analysis, language acquisition, psycholinguistics, language learning) as well as computational linguistics (cognitive modeling of language, dialogue and interactive systems, information retrieval, language resources, machine translation, NLP applications, sentiment analysis, social medial, text classification, and the like). The series can be about a single East Asian language or a comparative work among East Asian languages and/or between an East Asian language and any other languages that contributes to the advancement of the study of East Asian languages.

The importance of understanding the linguistic features of East Asian languages has been increasing as does the role of the East Asian countries in the era of global world. While there have been numerous research activities for the languages, few has initiated the dissemination of the research results accessible to the audiences around the world and published by a globally recognized publisher.

The series would be an optimal place to report new developments in the East Asian language study of language, information, logic, and computation. The series would make new results, ideas, and approaches for the study of East Asian languages available to the public in the most timely and focused manner.

More information about this series at http://www.springer.com/series/15584

Sophia Yat Mei Lee

Emotion and Cause Linguistic Theory and Computational Implementation

Sophia Yat Mei Lee

The Hong Kong Polytechnic University, Hong Kong, Hong Kong

ISSN 2522-5103 e-ISSN 2522-5111

Studies in East Asian Linguistics

ISBN 978-981-10-6192-9 e-ISBN 978-981-10-6194-3

https://doi.org/10.1007/978-981-10-6194-3

Library of Congress Control Number: 2017955241

Springer Nature Singapore Pte Ltd. 2019

This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.

The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.

The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This Springer imprint is published by Springer Nature

The registered company is Springer Nature Singapore Pte Ltd.

The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore

Contents

Appendix

References

List of Figures

Fig. 1.1 Types of emotion language

Fig. 1.2 Circumplex model of affect (Russell 1980)

Fig. 1.3 Desmets circumplex model of emotion (Desmet 2002)

Fig. 1.4 The nature of emotions (Plutchik 1994)

Fig. 2.1 The structure of the classification of emotional verb frames (Liu and Hong 2008)

Fig. 2.2 Chinese emotion classification tree (Xu et al. 2008)

Fig. 3.1 The definition of emotion-related elements

Fig. 4.1 The transitivity continuum

Fig. 5.1 The search page of word sketch

Fig. 5.2 The word sketch for gao1xing4

Fig. 5.3 Relevant epistemic markers of gao1xing4 in word sketch

Fig. 5.4 Epistemic marking continuum

Fig. 6.1 Event representation of an emotion

Fig. 6.2 The transitivity continuum

Fig. 6.3 Epistemic marking continuum

Fig. 6.4 The comparison of the transitivity and epistemic marking continuums

Fig. 7.1 Two examples of cause event annotation

Fig. 7.2 The architecture of the rule-based system

Fig. 7.3 The definitions of metrics for cause detection

List of Tables

Table 1.1 Emotions and their derivatives (Plutchik 1994)

Table 1.2 Primary emotions and the mixing of primary emotions (Turner 1996)

Table 1.3 Proposed semantic primitives (Wierzbicka 1996)

Table 2.1 Chinese emotion keywords (Xu and Tao 2003)

Table 2.2 The verbs of emotion in the Sinica Corpus (Chang et al. 2000)

Table 2.3 The dichotomy of emotion verbs (Chang et al. 2000)

Table 2.4 Distributional syntactic differences between two types of verbs (Chang et al. 2000)

Table 2.5 Revised Turner-Plutchik emotion taxonomy

Table 2.6 Chinese emotion taxonomy

Table 3.1 Primary emotions and the corresponding causes

Table 3.2 Summary of emotion corpus

Table 3.3 The accuracy of the emotion-driven corpora

Table 4.1 Common types of motion cause events

Table 4.2 Common types of non-motion cause events

Table 4.3 Number of sentences for cause event feature analysis

Table 4.4 Distributional tendency of cause event features of change-of-state emotion verbs

Table 4.5 Distributional tendency of cause event features of homogeneous state emotion verbs

Table 4.6 Cause event features of each emotion class

Table 4.7 Comparing cause event features between emotion verb types

Table 5.1 List of primary emotion verbs for analysis

Table 5.2 Types of epistemic markers

Table 5.3 Examples of epistemic markers for gao1xing4

Table 5.4 Epistemic markers of change-of-state emotion verbs

Table 5.5 Epistemic markers of homogeneous state emotion verbs

Table 7.1 Summary of cause corpus data

Table 7.2 Cause event position of each emotion

Table 7.3 Lists of potential linguistic cues

Table 7.4 Position of causative verbs relative to cause events

Table 7.5 Position of reported verbs relative to cause events

Table 7.6 Position of epistemic markers relative to cause events

Table 7.7 Position of prepositions relative to cause events

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