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
Jul 28, 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.
💬 Create Dialogs, Visual Novels, RPGs, and manage Characters with Godot to create your Game!
The core compiler and engine-agnostic components for Yarn Spinner, the friendly dialogue tool.
FAQ-based Question Answering System
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
curated collection of papers for the nlp practitioner 📖👩🔬
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.
Dialogue Plugin System for Unreal Engine
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.
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