#Ner
Showing 42 of 42 repositories tagged #ner, ranked by stars
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
Local-first healthcare AI: clinical NER & HIPAA PII de-identification that runs 100% on-device. 1,000+ medical models, 12 languages, Apple MLX + Python, no cloud, no patient data leaving your network. Apache-2.0
Snips Python library to extract meaning from text
中文 NLP 预处理、解析工具包，准确、高效、易用 A Chinese NLP Preprocessing & Parsing Package www.jionlp.com
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
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.
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.
自然语言处理、知识图谱、对话系统，大模型等技术研究与应用。
:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
Developer friendly Natural Language Processing ✨
Solves basic Russian NLP tasks, API for lower level Natasha projects
使用预训练语言模型BERT做中文NER
Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data
LLM-based ontological extraction tools, including SPIRES
👑 spaCy building blocks and visualizers for Streamlit apps
The online version is temporarily unavailable because we cannot afford the key. You can clone and run it locally. Note: we set defaul openai key. If keys exceed plan and are invalid, please tell us. The response speed depends on openai. ( sometimes, the official is too crowded and slow)
PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)
fastHan是基于fastNLP与pytorch实现的中文自然语言处理工具，像spacy一样调用方便。
A Vietnamese natural language processing toolkit (NAACL 2018)
BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)
BERT-NER (nert-bert) with google bert https://github.com/google-research.
Filter sensitive information from free text before sending it to external services or APIs, such as chatbots and LLMs.
Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.
Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。
A web-based document annotation tool, powered by GPT-4 :rocket:
Labelling platform for text using weak supervision.
NER toolkit for HTML data
[WWW 2025] A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System.
NER, syntax markup visualizations
Inference with state-of-the-art models (pre-trained by LD-Net / AutoNER / VanillaNER / ...)
NER Task with KoBERT (with Naver NLP Challenge dataset)
a repository for my curriculum project
Production inference for encoder models - ColBERT, GLiNER, ColPali, embeddings etc. - as vLLM plugins for online and in-process deployment
In the wild extraction of entities that are found using Flair and displayed using a very elegant front-end.
Unofficial implementation of QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition.
Building RAG and Agentic Applications with Haystack 2.0, RAGAS and LangGraph 1.0 published by Packt
Labelling Sequential Data in Natural Language Processing with R - using CRFsuite
DPG Campus Tool. Shrink massive PDFs to fit AI upload limits. Sanitize before uploading to reduce risk of exposing sensitive data.
End-to-end neural relation extraction using deep biaffine attention (ECIR 2019)
Corpus and a baseline neural network system for Named Entity Recognition in Hindi-English Code-Mixed social media text.
Personal Identifiable Information (PII) entity detection and performance enhancement with synthetic data generation
Let ChatGPT (Large Language Models) Serve As Data Annotator and Zero-shot/few-shot Information Extractor.