There are 79 repositories under natural-language-understanding topic.
TensorFlow code and pre-trained models for BERT
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
Natural Language Processing Best Practices & Examples
An Open-Source Framework for Prompt-Learning.
🤗 AutoTrain Advanced
This repo contains implementation of different architectures for emotion recognition in conversations.
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media
The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
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:helicopter: 保险行业语料库,聊天机器人
Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub
💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️
1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera
🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
❤️Emotional First Aid Dataset, 心理咨询问答、聊天机器人语料库
Language, Knowledge, Cognition
A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection and Instruction-Aware Models for Conversational AI
CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.
A curated list of resources dedicated to Natural Language Generation (NLG)
Compendium of the resources available from top NLP conferences.