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.
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Updated
Apr 24, 2024 - Python
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
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
💬 Create Dialogs, Visual Novels, RPGs, and manage Characters with Godot to create your Game!
Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)
Yarn Spinner is a tool for building interactive dialogue in games!
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation
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)
mPLUG-Owl & mPLUG-Owl2: Modularized Multimodal Large Language Model
ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems
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.
The Schema-Guided Dialogue Dataset
Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743
Large-scale pretrained models for goal-directed dialog
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.
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