In this section, we have compiled a comprehensive list of the papers that will be utilized in this tutorial.
Related Tutorials
- Conversational Recommender Systems, RecSys 2020, source, video
- Self-Supervised Learning for Recommendation, CIKM 2022, source, video
- Proactive Conversational Agents, WSDM 2023, source, video
- Limited Data Learning, ACL 2022, source
Related Surveys
- Conversational Information Seeking: An Introduction to Conversational Search, Recommendation, and Question Answering, Arxiv 2023, link
- Recent advances in deep learning based dialogue systems: a systematic survey, Artif. Intell. Rev. 2023, link
- A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects, Arxiv 2023, link
- An empirical survey of data augmentation for limited data learning in NLP, TACL 2023, link
- A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios, NAACL-HLT 2021, link
- To Augment or Not to Augment? A Comparative Study on Text Augmentation Techniques for Low-Resource NLP, Comput. Linguistics 2022, link
- A Survey of Data Augmentation Approaches for NLP, ACL/IJCNLP 2021, link
Evaluation
- Sentence-BERT : Sentence Embeddings using Siamese BERT-Networks, EMNLP/IJCNLP 2019, link
- G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment, Arxiv 2023, link
- Human Evaluation of Conversations is an Open Problem : comparing the sensitivity of various methods for evaluating dialogue agents, ACL 2022, link
- USR: An unsupervised and reference free evaluation metric for dialog generation, ACL 2020, link
- ACUTE-EVAL: Improved dialogue evaluation with optimized questions and multi-turn comparisons, Arxiv 2019, link
- BERTScore: Evaluating Text Generation with BERT, ICLR 2020, link
Conversation Generation: Task-oriented
- INA: An Integrative Approach for Enhancing Negotiation Strategies with Reward-Based Dialogue System, EMNLP 2023, link
- Towards Scalable Multi-Domain Conversational Agents: The Schema-Guided Dialogue Dataset, AAAI 2020, link
-
Building a Conversational Agent Overnight with Dialogue Self-Play, Arxiv 2018, link
- A Unified Dialogue User Simulator for Few-shot Data Augmentation, EMNLP 2022, link
- NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-Based Simulation, ACL/IJCNLP 2021, link
-
Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation, EMNLP 2020, link
- Transferable Dialogue Systems and User Simulators, ACL 2021, link
- Domain-independent User Simulation with Transformers for Task-oriented Dialogue Systems, SIGDIAL 2021, link
-
Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models, NAACL 2019, link
- Controllable User Dialogue Act Augmentation for Dialogue State Tracking, SIGDIAL 2022, link
- CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers, ICRL 2021, link
- Paraphrase Augmented Task-Oriented Dialog Generation, ACL 2020, link
-
Dialog State Tracking with Reinforced Data Augmentation, AAAI 2020, link
- DIALGEN: Collaborative Human-LM Generated Dialogues for Improved Understanding of Human-Human Conversations, Arxiv 2023, link
- In-Context Learning User Simulators for Task-Oriented Dialog Systems, Arxiv 2023, link
- DIALOGIC: Controllable Dialogue Simulation with In-Context Learning, EMNLP 2022, link
- LAD: Language Models as Data for Zero-Shot Dialog, SIGDIAL 2022, link
- Simulated Chats for Building Dialog Systems: Learning to Generate Conversations from Instructions, EMNLP 2021, link
Conversation Generation: Open Domain
- BotsTalk: Machine-sourced Framework for Automatic Curation of Large-scale Multi-skill Dialogue Datasets, EMNLP 2022, link
- Weakly Supervised Data Augmentation Through Prompting for Dialogue Understanding, Arxiv 2022, link
- AUGESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation, ACL 2023, link
- PERSONACHATGEN: Generating Personalized Dialogues using GPT-3, CCGPK 2022, link
- PLACES: Prompting Language Models for Social Conversation Synthesis, EACL(Findings) 2023, link
- SODA- Million-scale Dialogue Distillation with Social Commonsense Contextualization, Arxiv 2022, link
Conversation Generation: Conversational Information Seeking
- Dialog Inpainting: Turning Documents into Dialogs, ICML 2022, link
- A Synthetic Data Generation Framework for Grounded Dialogues, ACL 2023, link
- DG2: Data Augmentation Through Document Grounded Dialogue Generation, SIGDIAL 2022, link
- Generating Information-Seeking Conversations from Unlabeled Documents, EMNLP 2022, link
- Knowledge-Grounded Conversational Data Augmentation with Generative Conversational Networks, SIGDIAL 2022, link
- Multi-Type Conversational Question-Answer Generation with Closed-ended and Unanswerable Questions, AACL 2022, link
-
Conversational QA Dataset Generation with Answer Revision, COLING 2022, link
- MATHDIAL- A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems, Arxiv 2023, link
- Target-oriented Proactive Dialogue Systems with Personalization: Problem Formulation and Dataset Curation, EMNLP 2023, link