An open-source tool-augmented conversational language model from Fudan University

An open source library for deep learning end-to-end dialog systems and chatbots.

FAQ-based Question Answering System

Yarn Spinner is a tool for building interactive dialogue in games!

CakeChat: Emotional Generative Dialog System

A collection of research on knowledge graphs

This repo contains implementation of different architectures for emotion recognition in conversations.

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

📖 Paper reading list in conversational AI (constantly updating 🤗).

This is the Plato Research Dialogue System, a flexible platform for developing conversational AI agents.

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

Large-scale pretrained models for goal-directed dialog

Node Based Dialogue System for Unity

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

GoNorth is a story and content planning tool for RPGs and other open world games.

The Schema-Guided Dialogue Dataset

实时语音交互数字人，支持端到端语音方案（GLM-4-Voice - THG）和级联方案（ASR-LLM-TTS-THG）。可自定义形象与音色，无须训练，支持音色克隆，首包延迟低至3s。Real-time voice interactive digital human, supporting end-to-end voice solutions (GLM-4-Voice - THG) and cascaded solutions (ASR-LLM-TTS-THG). Customizable appearance and voice, supporting voice cloning, with initial package delay as low as 3s.

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

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.

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