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知识桥接的文本生成算法.pdf

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1、知识桥接的文本生成算法李丕绩计算机科学与技术学院/人工智能学院南京航空航天大学2023-3-183/18/2023Piji Li,NSC&Dialogue2ChatGPT Mar.14,20233/18/2023Piji Li,Knowledge&Symbolic3GPT-4知识桥接的对话生成符号知识的控制生成ChatGPT后,做什么?3/18/2023Piji Li,NSC&Dialogue4Outline知识桥接的对话生成 共情对话、个性化对话符号知识的控制生成ChatGPT后,做什么?3/18/2023Piji Li,NSC&Dialogue5Outline3/18/2023Piji L

2、i,NSC&Dialogue6Empathetic Dialogue System Empathy is a crucial step towards a more humanized human-machine conversation.Empathetic dialogue generation aims to recognize feelings in the conversation partner and reply accordingly.1.A commonsense knowledge graphConceptNet2.An emotional lexicon NRC_VADC

3、hallengesHumans usually rely on experience and external knowledge to acknowledge and express implicit emotions.Lacking external knowledge makes it difficult to perceive implicit emotions from limited dialogue history.valence(positivenessnegativeness/pleasure displeasure)arousal(activepassive)dominan

4、ce(dominantsubmissive)3/18/2023Piji Li,NSC&Dialogue7Empathetic Dialogue System1.This phenomenon demonstrates that humans need to infer more knowledge to conduct empathetic dialogues.2.External knowledge is essential in acquiring useful emotional knowledge and improving the performance of empathetic

5、dialogue generation.3/18/2023Piji Li,NSC&Dialogue8Empathetic Dialogue SystemModelling emotional dependencies between interlocutors is crucial to enhance the accuracy of external knowledge representation in empathetic dialogues.323/18/2023Piji Li,NSC&Dialogue9Knowledge-aware Empathetic Dialogue Gener

6、ation-KEMPA framework KEMP The early attempt to leverage external knowledge to enhance empathetic dialogue generation.An emotional context encoder and an emotion-dependency decoder Learn the emotional dependencies between the dialogue history and target response with bunches of external emotional co

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本文主要介绍了知识桥接的对话生成和符号知识的控制生成。首先,作者提出了共情对话和个性化对话的概念,并利用外部知识来增强共情对话的生成。作者通过实验验证了KEMP方法的有效性,该方法通过学习对话历史和目标响应之间的情感依赖来提高共情对话的准确性。其次,作者提出了知识桥接的个性化对话生成方法,通过概念集框架和概念复制机制来平衡个性化表达和倾听。此外,作者还探讨了如何利用事件规划来生成连贯的故事。最后,作者提出了SongNet框架,通过符号和注意力机制来生成符合特定格式的歌词和诗词。总的来说,本文通过引入外部知识、事件规划和符号知识,提高了对话生成、故事生成和歌词创作的连贯性和个性化。
知识桥接对话生成如何提高对话的共情性和个性化? 符号知识控制生成如何应用于歌词和诗词创作? ChatGPT之后,人工智能对话系统的发展方向是什么?
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