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编辑：机器学习算法与自然语言处理
在EMNLP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
投稿或交流学习，备注：昵称-学校（公司）-方向，进入DL&NLP交流群。
方向有很多：机器学习、深度学习，python，情感分析、意见挖掘、句法分析、机器翻译、人机对话、知识图谱、语音识别等。
记得备注呦
整理不易，还望给个在看！
