dialogue

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

FAQ-based Question Answering System

Large-scale pretraining for dialogue

💬 Create dialogs, characters and scenes to display conversations in your Godot games.

curated collection of papers for the nlp practitioner 📖👩‍🔬

Evaluation code for various unsupervised automated metrics for Natural Language Generation.

A Large-scale Chinese Short-Text Conversation Dataset and Chinese pre-training dialog models

Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation

自然语言处理领域下的对话语音领域，整理相关论文（附阅读笔记），复现模型以及数据处理等（代码含TensorFlow和PyTorch两版本）

RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

A tool for writing interactive dialogue in games!

The Schema-Guided Dialogue Dataset

Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743

NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems

This repository contains a new generative model of chatbot based on seq2seq modeling.

A list of recent papers regarding dialogue generation

A Visual Dialogue Editor made using the Godot Engine

Node based dialogue system

Pre-Trained Models for ToD-BERT

A simple but powerful branching dialogue system for Godot

Efficient multi-effects L10n text renderer for GameMaker

Statistical NLG for spoken dialogue systems

Modeling Multi-turn Conversation with Deep Utterance Aggregation (COLING 2018)

Grounded conversational dataset for end-to-end conversational AI (official DSTC7 data)

Source code for the ACL 2018 paper entitled "Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures" by Wenqiang Lei et al.