A collection of research on knowledge graphs
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Updated
Oct 7, 2022 - JavaScript
A collection of research on knowledge graphs
Developer friendly Natural Language Processing ✨
The BiLSTM-CRF model implementation in Tensorflow, for sequence labeling tasks.
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
Leveraging Apache CTakes and Azure Search to Build and Medical Search App
Keeping It Simple is Hard
Minimal customization of Quill.js Rich Text Editor for easy annotation of text snippets for NER model training with spaCy.
🍇 Build NER graphs from YouTube transcripts
🔎 This application parses sites and retrieves data associated with failures of public services to display districts' prestige
Library to connect to Stanford NER local Server, send in the Raw Text and get back Entity JSON
A Vue.js library to highlight annotations
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