Conversational Agents

This is an online repository for articles and resources related to Conversational Agents(CA).

Table of Contents

Articles

• Fundamentals

  Resources about the fundamental/background knowledge and overviews

  • 2019 - Gao - Neural Approaches to Conversational AI
  • 2017 - Liu - How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation
  • 2017 - Novikova- Why We Need New Evaluation Metrics for NLG
  • 2019 - See - What makes a good conversation? How controllable attributes affect human judgments
  • 2019 - Dathathri - Plug and Play Language Models: A Simple Approach to Controlled Text Generation

• Task-Oriented CAs

  Resources on the Task-oriented approach towards CA (aka. chatbots)

  • 2013- Young- POMDP-Based Statistical Spoken Dialog Systems: A Review
  • 2017 - Bordes - Learning End-to-End Goal-Oriented Dialog
  • 2017 - Mrkšić - Neural Belief Tracker: Data-Driven Dialogue State Tracking
  • 2019 - Rastogi - Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset
  • 2020 - Uber AI- Plato Dialogue System: A Flexible Conversational AI Research Platform
  • 2020 - Lair - User-in-the-loop Adaptive Intent Detection for Instructable Digital Assistant

• Open domain CAs

  Resources on open-domain CA (aka. chitchat)

  • 2015 - Vinyals - A Neural Conversational Model

  • 2015 - Shang - Neural Responding Machine for Short-Text Conversation

  • 2015 - Sordoni - A Neural Network Approach to Context-Sensitive Generation of Conversational Responses

  • 2015 - Shang - Neural Responding Machine for Short-Text Conversation

  • 2016 - Li - A Diversity-Promoting Objective Function for Neural Conversation Models

  • 2016 - Serban - A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

  • 2017 - Ahn - A Neural Knowledge Language Model

  • 2017 - Dhingra - Linguistic Knowledge as Memory for Recurrent Neural Networks

  • 2018 - Ghazvininejad - A Knowledge-Grounded Neural Conversation Model

  • 2018 - Zhang - Learning to Control the Specificity in Neural Response Generation

  • 2018 - Zhang - Personalizing Dialogue Agents: I have a dog, do you have pets too?

  • 2018 - Jiang - Why are Sequence-to-Sequence Models So Dull?

  • 2018 - Lewis - Deal or No Deal? End-to-End Learning for Negotiation Dialogues

  • 2019 - Kocijan - A Surprisingly Robust Trick for Winograd Schema Challenge

  • 2019 - Lewis - BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

  • 2019 - Merity - Single Headed Attention RNN: Stop Thinking With Your Head

  • 2019 - Zhang - DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation

• Filling the gap

  Resources on recent attempts to fill the gap between the two aforementioned approaches

  • 2017 - Eric&Manning - A Copy-Augmented Sequence-to-Sequence Architecture Gives Good Performance on Task-Oriented Dialogue
  • 2019 - Wu - Global-to-local Memory Pointer Networks for Task-Oriented Dialogue
  • 2018 - Manuvinakurike - Conversational Image Editing: Incremental Intent Identification in a New Dialogue Task

Datasets

• Ubuntu Dialogue Corpus v2.0

• Schema-Guided Dialogue State Tracking

• MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling

• Frames: A Corpus for Adding Memory to Goal-Oriented Dialogue Systems

• Topical-Chat: a knowledge-grounded human-human conversation dataset

Links

• An Annotated Reading List of Conversational AI
• ParlAI: A unified platform for sharing, training and evaluating dialogue models across many tasks