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

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Datasets

Latest papers with code

Grounding Dialogue Systems via Knowledge Graph Aware Decoding with Pre-trained Transformers

30 Mar 2021SmartDataAnalytics/kgirnet

Generating knowledge grounded responses in both goal and non-goal oriented dialogue systems is an important research challenge.

DIALOGUE GENERATION GOAL-ORIENTED DIALOGUE SYSTEMS KNOWLEDGE GRAPHS

3
30 Mar 2021

Towards Efficiently Diversifying Dialogue Generation via Embedding Augmentation

2 Mar 2021caoyu-noob/embedding_augmentation

Dialogue generation models face the challenge of producing generic and repetitive responses.

DIALOGUE GENERATION

1
02 Mar 2021

Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach

19 Jan 2021behavioral-data/PARTNER

Learning such transformations is challenging and requires a deep understanding of empathy while maintaining conversation quality through text fluency and specificity to the conversational context.

DIALOGUE GENERATION LANGUAGE MODELLING STYLE TRANSFER

15
19 Jan 2021

OpenViDial: A Large-Scale, Open-Domain Dialogue Dataset with Visual Contexts

30 Dec 2020ShannonAI/OpenViDial

Based on this dataset, we propose a family of encoder-decoder models leveraging both textual and visual contexts, from coarse-grained image features extracted from CNNs to fine-grained object features extracted from Faster R-CNNs.

DIALOGUE GENERATION

74
30 Dec 2020

Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation

22 Dec 2020ha-lins/GEML-MDG

Besides, we develop a Graph-Evolving Meta-Learning (GEML) framework that learns to evolve the commonsense graph for reasoning disease-symptom correlations in a new disease, which effectively alleviates the needs of a large number of dialogues.

DIALOGUE GENERATION META-LEARNING

13
22 Dec 2020

Knowledge-Grounded Dialogue Generation with Pre-trained Language Models

EMNLP 2020 zhaoxlpku/KnowledGPT

We study knowledge-grounded dialogue generation with pre-trained language models.

DIALOGUE GENERATION LANGUAGE MODELLING

21
17 Oct 2020

Pretrained Language Models for Dialogue Generation with Multiple Input Sources

15 Oct 2020caoyu-noob/Multi-GPT2

In this work, we study dialogue models with multiple input sources adapted from the pretrained language model GPT2.

DIALOGUE GENERATION LANGUAGE MODELLING NATURAL LANGUAGE UNDERSTANDING

13
15 Oct 2020

Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning

EMNLP 2020 zgahhblhc/Debiased-Chat

Extensive experiments on two real-world conversation datasets show that our framework significantly reduces gender bias in dialogue models while maintaining the response quality.

DIALOGUE GENERATION

6
28 Sep 2020

Stylized Dialogue Response Generation Using Stylized Unpaired Texts

27 Sep 2020silverriver/Stylized_Dialog

However, this task is far from well-explored due to the difficulties of rendering a particular style in coherent responses, especially when the target style is embedded only in unpaired texts that cannot be directly used to train the dialogue model.

DIALOGUE GENERATION

10
27 Sep 2020

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

7,169
22 Sep 2020