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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

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Datasets

Latest papers without code

Prediction, Selection, and Generation: Exploration of Knowledge-Driven Conversation System

23 Apr 2021

The system includes modules such as dialogue topic prediction, knowledge matching and dialogue generation.

DIALOGUE GENERATION

Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation

22 Feb 2021

The finding of general knowledge is further hindered by the unidirectional distillation, as the student should obey the teacher and may discard some knowledge that is truly general but refuted by the teacher.

DIALOGUE GENERATION KNOWLEDGE DISTILLATION

Learning to Select Context in a Hierarchical and Global Perspective for Open-domain Dialogue Generation

18 Feb 2021

Open-domain multi-turn conversations mainly have three features, which are hierarchical semantic structure, redundant information, and long-term dependency.

DIALOGUE GENERATION

Decomposing Mutual Information for Representation Learning

1 Jan 2021

In this paper, we transform each view into a set of subviews and then decompose the original MI bound into a sum of bounds involving conditional MI between the subviews.

DIALOGUE GENERATION REPRESENTATION LEARNING

Refine and Imitate: Reducing Repetition and Inconsistency in Dialogue Generation via Reinforcement Learning and Human Demonstration

1 Jan 2021

Despite the recent success of large-scale language models on various downstream NLP tasks, the repetition and inconsistency problems still persist in dialogue response generation.

DIALOGUE GENERATION LANGUAGE MODELLING

BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining

31 Dec 2020

AR and NAR generation can be uniformly regarded as to what extent previous tokens can be attended, and BANG bridges AR and NAR generation by designing a novel model structure for large-scale pretraining.

DIALOGUE GENERATION QUESTION GENERATION

Are Pre-trained Language Models Knowledgeable to Ground Open Domain Dialogues?

19 Nov 2020

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

DIALOGUE GENERATION

Open-Domain Dialogue Generation Based on Pre-trained Language Models

24 Oct 2020

These results show that discrepancies is an important factor to consider when we use a pre-trained model, and a reduction in discrepancies can lead to improved performance.

DIALOGUE GENERATION LANGUAGE MODELLING

Cross Copy Network for Dialogue Generation

EMNLP 2020

In the past few years, audiences from different fields witness the achievements of sequence-to-sequence models (e. g., LSTM+attention, Pointer Generator Networks, and Transformer) to enhance dialogue content generation.

DIALOGUE GENERATION