收集各种和NLP相关的资料,包括学习资料、模型实现、数据收集等,记录个人学习成长过程中遇到的各种优异资源,实时更新中。。。
https://github.com/crownpku/Awesome-Chinese-NLP
一些中文 自然语言处理 语料/数据集,包括情感/观点/评论 倾向性分析、中文命名实体识别、推荐系统、FAQ问答系统 https://github.com/SophonPlus/ChineseNlpCorpus
搜索所有中文NLP数据集 https://github.com/CLUEbenchmark/CLUEDatasetSearch
心理咨询问答语料库 https://github.com/chatopera/efaqa-corpus-zh?spm=5176.12282016.0.0.416e7dc0g0sg7R
知乎总结,有哪些中文语料库 https://www.zhihu.com/question/44764422
中文NLP.数据集搜索 https://www.cluebenchmarks.com/dataSet_search.html
情感对话数据集 https://www.biendata.xyz/ccf_tcci2018/datasets/ecg/
中文开放知识图谱 http://openkg.cn/home
https://github.com/fighting41love/funNLP
斯坦福大学CS224N 【2019】课程的【所有】相关的资料 https://github.com/zhanlaoban/CS224N-Stanford-Winter-2019
NLP研究入门之道-刘知远 https://github.com/zibuyu/research_tao
自然语言处理算法与实战 https://github.com/nlpinaction/learning-nlp
七月NLP课程笔记 https://codingcat.cn/pages/608d0a/
pytorch中文教程,聊天机器人教程 https://pytorch.apachecn.org/docs/1.0/chatbot_tutorial.html
百度paddlenlp课程学习:https://aistudio.baidu.com/aistudio/education/group/info/24177 、 https://aistudio.baidu.com/aistudio/projectdetail/1978303
https://www.paperswithcode.com/
问答系统实践,由两个部分组成,一是基于tf-idf检索的召回模型,二是基于CNN的精排模型 https://github.com/WenRichard/Customer-Chatbot
CakeChat: 情感生成对话系统 https://www.ctolib.com/lukalabs-cakechat.html
Make your own Rick Sanchez (bot) with Transformers and DialoGPT fine-tuning:https://colab.research.google.com/drive/15wa925dj7jvdvrz8_z3vU7btqAFQLVlG#scrollTo=7KrNfVNueNhR
对话情感分析:https://github.com/declare-lab/conv-emotion
多轮对话基础实现: https://github.com/gmftbyGMFTBY/MultiTurnDialogZoo
DeepMoji:输入一句话生成相应表情 https://deepmoji.mit.edu/
面向FAQ集合的问答系统框架、文本语义匹配工具SimNet https://github.com/baidu/AnyQ
an open-source text annotation tool:https://github.com/doccano/doccano
Bad Words: https://github.com/LDNOOBW/List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words
预训练模型相关paper:https://github.com/thunlp/PLMpapers
对话情感识别与生成简述 https://blog.csdn.net/sdu_hao/article/details/106855262
A paper list for aspect based sentiment analysis https://github.com/jiangqn/Aspect-Based-Sentiment-Analysis
A Paper List for Style Transfer in Text: https://github.com/fuzhenxin/Style-Transfer-in-Text
awesome-emotion-recognition-in-conversations: https://github.com/declare-lab/awesome-emotion-recognition-in-conversations
how-to-build-a-state-of-the-art-conversational-ai-with-transfer-learning:https://medium.com/huggingface/how-to-build-a-state-of-the-art-conversational-ai-with-transfer-learning-2d818ac26313
The Illustrated Transformer(中文版,非常好的讲解Transformer的文章): https://blog.csdn.net/yujianmin1990/article/details/85221271
Awesome-Efficient-PLM: https://github.com/TobiasLee/Awesome-Efficient-PLM
恒源智享云 https://gpushare.com/