About

Dialogue Generation is a fundamental component for real-world virtual assistants such as Siri and Alexa. It is the text generation task that automatically generate a response given a post by the user.

Source: Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey

Benchmarks

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

Datasets

Greatest papers with code

Neural Machine Translation by Jointly Learning to Align and Translate

1 Sep 2014graykode/nlp-tutorial

Neural machine translation is a recently proposed approach to machine translation.

DIALOGUE GENERATION MACHINE TRANSLATION

Controlling Style in Generated Dialogue

22 Sep 2020facebookresearch/ParlAI

Open-domain conversation models have become good at generating natural-sounding dialogue, using very large architectures with billions of trainable parameters.

DIALOGUE GENERATION

Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset

ACL 2019 facebookresearch/ParlAI

One challenge for dialogue agents is recognizing feelings in the conversation partner and replying accordingly, a key communicative skill.

DIALOGUE GENERATION

Personalizing Dialogue Agents: I have a dog, do you have pets too?

ACL 2018 facebookresearch/ParlAI

Chit-chat models are known to have several problems: they lack specificity, do not display a consistent personality and are often not very captivating.

DIALOGUE GENERATION

ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation

26 Jan 2020PaddlePaddle/ERNIE

Current pre-training works in natural language generation pay little attention to the problem of exposure bias on downstream tasks.

 Ranked #1 on Text Summarization on GigaWord-10k (using extra training data)

ABSTRACTIVE TEXT SUMMARIZATION DIALOGUE GENERATION GENERATIVE QUESTION ANSWERING QUESTION GENERATION

Teaching Machines to Converse

31 Jan 2020facebook/MemNN

The ability of a machine to communicate with humans has long been associated with the general success of AI.

DIALOGUE GENERATION QUESTION ANSWERING

TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents

23 Jan 2019huggingface/transfer-learning-conv-ai

We introduce a new approach to generative data-driven dialogue systems (e. g. chatbots) called TransferTransfo which is a combination of a Transfer learning based training scheme and a high-capacity Transformer model.

DIALOGUE GENERATION INFORMATION RETRIEVAL TRANSFER LEARNING

Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language Generation

ICLR 2018 Maluuba/nlg-eval

However, previous work in dialogue response generation has shown that these metrics do not correlate strongly with human judgment in the non task-oriented dialogue setting.

DIALOGUE GENERATION MACHINE TRANSLATION

PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable

ACL 2020 PaddlePaddle/Research

Pre-training models have been proved effective for a wide range of natural language processing tasks.

DIALOGUE GENERATION QUESTION ANSWERING

A Large-Scale Chinese Short-Text Conversation Dataset

10 Aug 2020thu-coai/CDial-GPT

The cleaned dataset and the pre-training models will facilitate the research of short-text conversation modeling.

DIALOGUE GENERATION SHORT-TEXT CONVERSATION