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  • A Diversity-Promoting Objective Function for Neural Conversation Models 论文阅读零散笔记

    A Diversity-Promoting Objective Function for Neural Conversation Models SEQ2SEQ模型用于conversational responses倾向于产生safe&am
    零散笔记论文objectivePromoting
    admin8月前
    570
  • A Persona-Based Neural Conversation Model论文

    问题:同样的问题,不同的表述,生成的回复就不一致。解决方法:在seq2seq的的decoder 加入了用户向量,类似词向量&
    论文basedPersonaneuralModel
    admin8月前
    630
  • 论文笔记:Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory

    总所周知,许多对话系统的回复都比较单调或中性,降低了对话体验。而且,情感智能是人工智能至关重要的一部分,它能够感知,识别,理解用户的情感,并依此调节自身情感,给出符合情绪的表达。 该篇论文设计了一个情绪化的对话生成模型。该模型应用于开放领
    笔记论文ChattingEmotionalmachine
    admin8月前
    550
  • Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey论文分享

    今天分享的论文是《Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey》 原文链接:[2402.09283] Attacks,
    论文EvaluationsDefensesAttacksLLM
    admin8月前
    590
  • 【论文】Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory

    《Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory》(Hao Zhou,Ts
    论文ChattingmachineConversationEmotional
    admin8月前
    560
  • 论文阅读——Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances

    文章目录摘要简介研究挑战情绪的类别情绪标注基础对话上下文建模说话者特定建模倾听者特定建模情绪转移现象细粒度情感识别多方对话讽刺现象情绪推理数据集前沿方法结论摘要 情感是人类固有的,因此,情感理解
    论文RecognitionEmotionConversationAdvances
    admin8月前
    780
  • 论文阅读(2022)Context- and Sentiment-Aware Networksfor Emotion Recognition in Conversation

    摘要对话是一个动态交互的过程,通常依靠上下文和常识来传递情感信息。现有的工作不是有机地和动态地将常识性知识整合到对话中,而是机械化的方法,为了探索常识知识在情感识别中的潜在价
    论文contextSentimentAwareEmotion
    admin8月前
    890
  • 论文笔记:基于外部知识的会话模型Commonsense Knowledge Aware Conversation Generation with Graph Attention

    Commonsense Knowledge Aware Conversation Generation with Graph Attention 1 出发点现有的具有外部知识的模型,大多采用非结构化、开放域知识或者结构化
    模型笔记知识论文Commonsense
    admin8月前
    440
  • 论文阅读(2019) EmotionX-IDEA: Emotion BERT – an Affectional Model for Conversation

    摘要研究了预训练语言模型BERT的情感识别能力,根据两句结构的BERT框架的性质,使BERT适用于连续对话情感预测任务,这在很大程度上依赖于句子级的上下文感知理解介绍基于文本
    论文EmotionXIDEAEmotionAffectional
    admin8月前
    480
  • 《论文阅读》Commonsense Knowledge Aware Conversation Generation with Graph Attention

    《论文阅读》Commonsense Knowledge Aware Conversation Generation with Graph Attention 简介 论文试图解决什么问题? 论文中提到的解决方案之关键是什么? 新的收获?有什么
    论文KnowledgeCommonsenseAwareAttention
    admin8月前
    450
  • 多模态 | Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation论文详解及实现

    本文主要详细描述了Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation论文详解及实现。 论文详解 2022.10.17_S
    详解多模论文Prototypicallearning
    admin8月前
    460
  • Hybrid Curriculum Learning for Emotion Recognition in Conversation 论文阅读 2022 AAAI

    Hybrid Curriculum Learning for Emotion Recognition in Conversation 论文发表于2022 AAAI,阿里巴巴团队,旨在用课程学习解
    论文learningEmotionCurriculumHybrid
    admin8月前
    560
  • 《论文阅读》Hybrid Curriculum Learning for Emotion Recognition in Conversation

    Hybrid Curriculum Learning for Emotion Recognition in Conversation 问答环节 简介 思路出发点 相关知识 Curriculum Learning Difficulty Mea
    论文CurriculumHybridlearningRecognition
    admin8月前
    540
  • 《论文阅读》Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memor

    Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory 问题提出 该问题面临的挑战 本文创新点 本文难题
    论文ChattingmachineConversationEmotional
    admin8月前
    570
  • 情感支撑对话论文最近进展 Emotion Support Conversation

    这一篇博客主要分析一下,目前在情感支撑,也就是心理咨询这个场景下面相关论文的一些最新情况,论文的链接以及主要的思想。后续会具体的来介绍每一篇文章的动机,
    进展情感论文ConversationEmotion
    admin8月前
    560
  • 【论文阅读】Modeling Multi-turn Conversation with Deep Utterance Aggregation

    目录一、简介二、方法1.任务2. 模型架构Utterance RepresentationTurns-aware AggregationMatching Attention FlowResponse MatchingAttentive Tu
    论文MultiModelingTurnaggregation
    admin8月前
    560
  • 论文阅读--Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances

    Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances–会话中的情感识别&a
    论文RecognitionEmotionConversationAdvances
    admin8月前
    590
  • 论文-Dynamic Online Conversation Recommendation

    题目Dynamic Online Conversation Recommendation介绍这是一篇ACL2020的文章,本文研究了动态在线对话推荐,提出用户的兴趣会随时间产生变化&
    论文dynamiconlineConversationRecommendation
    admin8月前
    510
  • 【论文笔记】Commonsense Knowledge Aware Conversation Generation with Graph Attention

    Commonsense Knowledge Aware Conversation Generation with Graph Attention 文章目录Commonsense Knowledge Aware Conversation Ge
    笔记论文KnowledgeCommonsenseAware
    admin8月前
    690
  • 【论文通读】AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

    AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation 前言 Abstract Motivation Framework Conversable Ag
    论文enablingGenLLMAutoGen
    admin8月前
    680
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