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absa-pytorch

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

absapapers

Must-read paper list and related awesome resources on aspect-based sentiment analysis (ABSA). 值得一读的方面级情感分析论文与相关资源集合

aspect-based-sentiment-analysis

A paper list for aspect based sentiment analysis.

bert-for-rrc-absa

code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"

bert4keras

light reimplement of bert for keras

bert_classifier

bert文本分类

bert_doc_binary_classification

文本二分类任务，是否文档是否属于政治上的出访类事件，利用BERT提取特征，模型采用简单的DNN。

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

chinese_corpus

中文语料库：包括情感词典 情感分析 文本分类 单轮对话 中文词典 知乎

chinesenlpcorpus

搜集、整理、发布 中文 自然语言处理 语料/数据集，与 有志之士 共同 促进 中文 自然语言处理 的 发展。

dl-nlp-readings

My Reading Lists of Deep Learning and Natural Language Processing

funnlp

gated-convolutional-networks

A PyTorch implementation of : Language Modeling with Gated Convolutional Networks.

kaggle_public

阿水的数据竞赛开源分支

keras-self-attention

Attention mechanism for processing sequential data that considers the context for each timestamp.

movie-plots-by-genre

Movie plots by genre tutorial at PyData Berlin 2016

mt-reading-list

A machine translation reading list maintained by Tsinghua Natural Language Processing Group

nlp-datasets

Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)

nlp_paper_summaries

✍️ A carefully curated list of NLP paper summaries

pointernet_chinese_information_extraction

利用指针网络进行信息抽取，包含命名实体识别、关系抽取、事件抽取。

pwc

Papers with code. Sorted by stars. Updated weekly.

pytorch_globalpointer_triple_extraction

基于pytorch的GlobalPointer进行三元组抽取。

sa-papers

📄 Deep Learning 中 Sentiment Analysis 論文統整與分析 😀😡☹️😭🙄🤢

swot-backend

Backend API for Swot

transformer_implementation_and_application

The 300 lines of code (Tensorflow 2) completely replicates the Transformer model and is used in neural machine translation tasks and chat bots. 300行代码（Tensorflow 2）完整复现了Transformer模型，并且应用在神经机器翻译任务和聊天机器人上。