EMNLP'21 | Dialogue System 对话系统

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编辑:机器学习算法与自然语言处理

在EMNLP2021包含Dialog的关键字的文章整理如下(也包括intent,slot,spoken language understanding,tracking这些词,欢迎补充):

01

主会内容

  • A Label-AwareBERTAttention Network for Zero-Shot Multi-Intent Detection in Spoken Language Understanding

  • Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding

  • Multilingual and Cross-Lingual Intent Detection from Spoken Data

  • Feedback Attribution for Counterfactual Bandit Learning in Multi-Domain Spoken Language Understanding

  • Effectiveness of Pre-training for Few-shot Intent Classification

  • Towards Making the Most of Dialogue Characteristics for Neural Chat Translation

  • Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining

  • Controllable Neural Dialogue Summarization with Personal Named Entity Planning

  • GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmentation

  • Graph Based Network with Contextualized Representations of Turns in Dialogue

  • Automatically Exposing Problems with Neural Dialog Models

  • MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative Tasks

  • Cross-lingual Intermediate Fine-tuning improves Dialogue State Tracking

  • We’ve had this conversation before: A Novel Approach to Measuring Dialog Similarity

  • CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational Recommendation

  • DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization

  • Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems

  • Contextual Rephrase Detection for Reducing Friction in Dialogue Systems

  • Reference-Centric Models for Grounded Collaborative Dialogue

  • Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding

  • Thinking Clearly, Talking Fast: Concept-Guided Non-Autoregressive Generation for Open-Domain Dialogue Systems

  • Generation and Extraction Combined Dialogue State Tracking with Hierarchical Ontology Integration

  • CoLV: A Collaborative Latent Variable Model for Knowledge-Grounded Dialogue Generation

  • AThree-StageLearningFramework for Low-ResourceKnowledge-GroundedDialogueGeneration

  • Intention Reasoning Network for Multi-Domain End-to-end Task-Oriented Dialogue

  • More is Better: Enhancing Open-Domain Dialogue Generation via Multi-Source Heterogeneous Knowledge

  • Domain-Lifelong Learning for Dialogue State Tracking via Knowledge Preservation Networks

  • Different Strokes for Different Folks: Investigating Appropriate Further Pre-training Approaches for Diverse Dialogue Tasks

  • Knowledge Enhanced Fine-Tuning for Better Handling Unseen Entities in Dialogue Generation

  • Don’t be Contradicted with Anything!CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialogue System

  • Transferable Persona-Grounded Dialogues via Grounded Minimal Edits

  • DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings

  • Adaptive Bridge between Training and Inference for Dialogue Generation

  • Smoothing Dialogue States for Open Conversational Machine Reading

  • Exophoric Pronoun Resolution in Dialogues with Topic Regularization

  • Contextualize Knowledge Bases with Transformer for End-to-end Task-Oriented Dialogue Systems

  • Efficient Dialogue Complementary Policy Learning via DeepQ-network Policy and Episodic Memory Policy

  • End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs

  • CSDS: A Fine-GrainedChinese Dataset for Customer Service Dialogue Summarization

  • Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions

  • Region under Discussion for visual dialog

  • Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts

  • Multi-Modal Open-Domain Dialogue

  • Zero-Shot Dialogue Disentanglement by Self-Supervised Entangled Response Selection

  • SIMMC2.0: A Task-oriented Dialog Dataset for Immersive Multimodal Conversations

  • RAST: Domain-Robust Dialogue Rewriting as Sequence Tagging

  • MRF-Chat: Improving Dialogue withMarkov Random Fields

  • Dialogue State Tracking with a Language Model using Schema-Driven Prompting

  • MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documents

  • NDH-Full: Learning and Evaluating Navigational Agents on Full-Length Dialogue

  • Simple Conversational Data Augmentation for Semi-supervised Abstractive Dialogue Summarization

  • Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach

  • Continual Learning in Task-Oriented Dialogue Systems

  • Investigating Robustness of Dialog Models to Popular Figurative Language Constructs

  • Effective Sequence-to-Sequence Dialogue State Tracking

  • Learning Neural Templates for Recommender Dialogue System

  • Proxy Indicators for the Quality of Open-domain Dialogues

  • Q2:Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering

  • Knowledge-Aware Graph-EnhancedGPT-2 for Dialogue State Tracking

  • A Collaborative Multi-agent Reinforcement Learning Framework for Dialog Action Decomposition

  • Zero-Shot Dialogue State Tracking via Cross-Task Transfer

  • Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance

  • A Bag of Tricks for Dialogue Summarization

  • Is Information Density Uniform in Task-Oriented Dialogues?

  • Code-switched inspired losses for spoken dialog representations

  • Looking for Confirmations: An Effective and Human-Like Visual Dialogue Strategy

  • Athena 2.0: Contextualized Dialogue Management for anAlexaPrizeSocialBot

  • Robust Retrieval Augmented Generation for Zero-shot Slot Filling

02

Findings论文

  • An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling

  • TWEETSUMM- A Dialog Summarization Dataset for Customer Service

  • Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer

  • A Model of Cross-Lingual Knowledge-Grounded Response Generation for Open-Domain Dialogue Systems

  • Learning to Ground Visual Objects for Visual Dialog

  • KERS: A Knowledge-Enhanced Framework for Recommendation Dialog Systems with Multiple Subgoals

  • Improving Abstractive Dialogue Summarization with Hierarchical Pretraining and Topic Segment

  • Simulated Chats for Building Dialog Systems: Learning to Generate Conversations from Instructions

  • Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization

  • Combining Curriculum Learning and Knowledge Distillation for Dialogue Generation

  • Improving End-to-End Task-Oriented Dialog System with A Simple Auxiliary Task

  • A Finer-grain Universal Dialogue Semantic Structures based Model For Abstractive Dialogue Summarization

  • Improving Dialogue State Tracking with Turn-based Loss Function and Sequential Data Augmentation

  • TIAGE: A Benchmark for Topic-Shift Aware Dialog Modeling

  • Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser

  • Self- and Pseudo-self-supervised Prediction of Speaker and Key-utterance for Multi-party Dialogue Reading Comprehension

  • Speaker Turn Modeling for Dialogue Act Classification

  • SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks

  • Give the Truth: Incorporate Semantic Slot into Abstractive Dialogue Summarization

  • DialogueTRM: Exploring Multi-Modal Emotional Dynamics in a Conversation

  • Constructing Emotional Consensus and Utilizing Unpaired Data for Empathetic Dialogue Generation

  • An animated picture says at least a thousand words: Selecting Gif-based Replies in Multimodal Dialog

  • Refine and Imitate: Reducing Repetition and Inconsistency in Persuasion Dialogues via Reinforcement Learning and Human Demonstration

  • Probing Commonsense Explanation in Dialogue Response Generation

  • FCM: A Fine-grained Comparison Model for Multi-turn Dialogue Reasoning

  • Task-Oriented Clustering for Dialogues

  • An Exploratory Study on Long Dialogue Summarization: What Works and What’s Next

  • Speculative Sampling in Variational Autoencoders for Dialogue Response Generation


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