ner

A collection of research on knowledge graphs

Developer friendly Natural Language Processing ✨

The BiLSTM-CRF model implementation in Tensorflow, for sequence labeling tasks.

The "Missing GitHub Status Page" -- a Flat Data attempt at historically documenting GitHub statuses

医药知识图谱自动问答系统实现，包括构建知识图谱、基于知识图谱的流水线问答以及前端实现。实体识别（基于词典+BERT_CRF）、实体链接（Sentence-BERT做匹配）、意图识别（基于提问词+领域词词典）。

ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.

Labelling platform for text using weak supervision.

An open-source and powerful Information Extraction toolkit based on GPT (GPT for Information Extraction; GPT4IE for short)。Note: we set a default openai key in the tool, you can tell us if the key reach the limit.

NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, code generation, and much more...

Language agnostic named entity recognizer

A simple zero-dependency React component for tagging user-defined entities within a block of text.

Client for Stanford Named Entity Reconginiton

Keeping It Simple is Hard

Leveraging Apache CTakes and Azure Search to Build and Medical Search App

Minimal customization of Quill.js Rich Text Editor for easy annotation of text snippets for NER model training with spaCy.

Graphical user interface to train spacy's NER model (named entity recognition)

Real-time PII detection and redaction for AI chat interfaces.

Aegis is a light weight Chrome extension that obfuscates sensitive data like emails, phone numbers, and credit card numbers in real time. It features an intuitive interface for masking and copying obfuscated text, ensuring your privacy while interacting with web forms and input fields.

React app for getting text summary, keywords with gensim. NER (Named Entity Recognition) using spacy.

🍇 Build NER graphs from YouTube transcripts