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.
mPLUG-Owl: The Powerful Multi-modal Large Language Model Family
Large-scale pretraining for dialogue
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
自然语言处理领域下的相关论文（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）
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation
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
PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list.
The Schema-Guided Dialogue Dataset
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
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.
This repository contains a new generative model of chatbot based on seq2seq modeling.
A Chinese Open-Domain Dialogue System
Pre-Trained Models for ToD-BERT
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