A Task-Oriented Dialogue System for Moral Education

Yan, Peng; Chen, Penghe; Lu, Yu; Meng, Qinggang; Xu, Qi; Yu, Shengsheng

doi:10.1007/978-3-030-23207-8_72

Cited by 7 publications

(3 citation statements)

References 7 publications

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“…The models in this category are primarily trained on descriptive approaches and are then supposed to be able to make normative judgements. (Zhao et al, 2021;Peng et al, 2019;Bang et al, 2022;Jiang et al, 2021a,b;Gu et al, 2022;Komuda et al, 2013;Jin et al, 2022;Anderson et al, 2006)…”

Section: A Categorisation Detailsmentioning

confidence: 99%

Values, Ethics, Morals? On the Use of Moral Concepts in NLP Research

Vida,

Simon,

Lauscher

2023

Findings of the Association for Computational Linguistics: EMNLP 2023

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With language technology increasingly affecting individuals' lives, many recent works have investigated the ethical aspects of NLP. Among other topics, researchers focused on the notion of morality, investigating, for example, which moral judgements language models make. However, there has been little to no discussion of the terminology and the theories underpinning those efforts and their implications. This lack is highly problematic, as it hides the works' underlying assumptions and hinders a thorough and targeted scientific debate of morality in NLP. In this work, we address this research gap by (a) providing an overview of some important ethical concepts stemming from philosophy and (b) systematically surveying the existing literature on moral NLP w.r.t. their philosophical foundation, terminology, and data basis. For instance, we analyse what ethical theory an approach is based on, how this decision is justified, and what implications it entails. Our findings surveying 92 papers show that, for instance, most papers neither provide a clear definition of the terms they use nor adhere to definitions from philosophy. Finally, (c) we give three recommendations for future research in the field. We hope our work will lead to a more informed, careful, and sound discussion of morality in language technology. Ion Stagkos Efstathiadis, Guilherme Paulino-Passos, and Francesca Toni. 2022. Explainable patterns for distinction and prediction of moral judgement on reddit. arXiv preprint arXiv:2201.11155.

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Section: A Categorisation Detailsmentioning

confidence: 99%

Values, Ethics, Morals? On the Use of Moral Concepts in NLP Research

Vida,

Simon,

Lauscher

2023

Findings of the Association for Computational Linguistics: EMNLP 2023

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“…(Ruan et al, 2021;Stewart and File, 2007;Huang et al, 2017) Others are specially designed for education in a single domain or task, e.g. moral education (Peng et al, 2019), educational debate (Yuan et al, 2008). Compared with previous educational dialogue systems, our system is for information acquisition without domain restriction.…”

Section: Rl In Text Generationmentioning

confidence: 99%

Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition

Cai¹,

Wan²,

Liu³

et al. 2022

Preprint

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We propose novel AI-empowered chat bots for learning as conversation where a user does not read a passage but gains information and knowledge through conversation with a teacher bot. Our information-acquisitionoriented dialogue system employs a novel adaptation of reinforced self-play so that the system can be transferred to various domains without in-domain dialogue data, and can carry out conversations both informative and attentive to users. Our extensive subjective and objective evaluations on three large public data corpora demonstrate the effectiveness of our system to deliver knowledge-intensive and attentive conversations and help end users substantially gain knowledge without reading passages. Our code and datasets are publicly available 1 for follow-up research.

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“…According to Maslow's Need Hierarchy, need deficiency referring to unfulfilled need is the main reason driving students' problem behaviors (Maslow 1943). This module focuses on how to identify the need deficiency underlying problem behaviors through a task-oriented dialogue system (Peng et al 2019).…”

Section: Dialogue Diagnosis Modulementioning

confidence: 99%

An Intelligent Assistant for Problem Behavior Management

Chen

Liu

et al. 2021

AAAI

Self Cite

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We design and implement an intelligent assistant, called PB-Advisor, to advise teachers and parents on students' problem behaviors. It utilizes a task-oriented dialogue system to identify the need deficiency underlying students' problem behaviors, and relies on a community question answering system to provide advice on typical problem behavior management. In addition, it also provides various learning resources, and illustrates the relations between influential factors on typical problem behaviors through data analysis. With PB-Advisor, teachers and parents without psychological expertise can easily find proper advice on students’ problem behaviors.

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A Task-Oriented Dialogue System for Moral Education

Cited by 7 publications

References 7 publications

Values, Ethics, Morals? On the Use of Moral Concepts in NLP Research

Values, Ethics, Morals? On the Use of Moral Concepts in NLP Research

Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition

An Intelligent Assistant for Problem Behavior Management

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