ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

Snips Python library to extract meaning from text

中文人名语料库。人名生成器。中文姓名,姓氏,名字,称呼,日本人名,翻译人名,英文人名。可用于中文分词、人名实体识别。

Jiagu深度学习自然语言处理工具 知识图谱关系抽取 中文分词 词性标注 命名实体识别 情感分析 新词发现 关键词 文本摘要 文本聚类

搜索所有中文NLP数据集，附常用英文NLP数据集

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

Named Entity Recognition (LSTM + CRF) - Tensorflow

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

Chinese NER using Lattice LSTM. Code for ACL 2018 paper.

中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现）

🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

中文 NLP 预处理、解析工具包，准确、高效、易用 A Chinese NLP Preprocessing & Parsing Package

Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)

An Open Toolkit for Knowledge Graph Extraction and Construction

A collection of research on knowledge graphs

A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

自然语言处理、知识图谱、对话系统三大技术研究与应用。

Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, and date/time expressed in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV). Contributions are greatly welcome! Packages are available at https://www.nuget.org/profiles/Recognizers.Text and https://www.npmjs.com/~recognizers.text

Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.

中文命名实体识别，实体抽取，tensorflow，pytorch，BiLSTM+CRF

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

公司名语料库。机构名语料库。公司简称,缩写,品牌词,企业名。可用于中文分词、机构名实体识别。

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

Underthesea - Vietnamese NLP Toolkit

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data

Solves basic Russian NLP tasks, API for lower level Natasha projects

pytorch实现 Bert 做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持t5模型，支持GPT2进行文章续写。