#Named-entity-recognition
Showing 57 of 57 repositories tagged #named-entity-recognition, ranked by stars
中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理
💫 Industrial-strength Natural Language Processing (NLP) in Python
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
An open source library for deep learning end-to-end dialog systems and chatbots.
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
State of the Art Natural Language Processing
百度NLP：分词，词性标注，命名实体识别，词重要性
Snips Python library to extract meaning from text
👩🏫 Advanced NLP with spaCy: A free online course
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.
Multi-Task Deep Neural Networks for Natural Language Understanding
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
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.
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.
🦙 Integrating LLMs into structured NLP pipelines
An elegent pytorch implement of transformers
1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data
LLM-based ontological extraction tools, including SPIRES
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
Github repo with tutorials to fine tune transformers for diff NLP tasks
👑 spaCy building blocks and visualizers for Streamlit apps
PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)
A self‑hosted search engine for documents
A Vietnamese natural language processing toolkit (NAACL 2018)
BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)
tensorflow를 사용하여 텍스트 전처리부터, Topic Models, BERT, GPT, LLM과 같은 최신 모델의 다운스트림 태스크들을 정리한 Deep Learning NLP 저장소입니다.
Guideline following Large Language Model for Information Extraction
Filter sensitive information from free text before sending it to external services or APIs, such as chatbots and LLMs.
[LREC-COLING 2024 (Oral), Interspeech 2024 (Oral), NAACL 2025, ACL 2025, EMNLP 2025] A Series of Multilingual Multitask Medical Speech Processing
中文文本分类、序列标注工具包（pytorch），支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词、抽取式文本摘要等序列标注任务。 Chinese text classification and sequence labeling toolkit, supports multi class and multi label classification, text similsrity, text summary and NER.
Named Entity Recognition
A web-based document annotation tool, powered by GPT-4 :rocket:
🏖TagEditor - Annotation tool for spaCy
[WWW 2025] A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System.
Evaluating ChatGPT’s Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness
An Evaluation of ChatGPT on Information Extraction task, including Named Entity Recognition (NER), Relation Extraction (RE), Event Extraction (EE) and Aspect-based Sentiment Analysis (ABSA).
The Libre Multilingual Analyzer, a Natural Language Processing (NLP) C++ toolkit.
Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.
Python/Django based webapps and web user interfaces for search, structure (meta data management like thesaurus, ontologies, annotations and named entities) and data import (ETL like text extraction, OCR and crawling filesystems or websites)
pytorch를 사용하여 텍스트 전처리부터 RAG, 에이전트, LLM 파인튜닝을 정리한 Deep Learning NLP 저장소입니다.
NER Task with KoBERT (with Naver NLP Challenge dataset)
Healthsea is a spaCy pipeline for analyzing user reviews of supplementary products for their effects on health.
A tool for enumerating usernames from text, files, or websites
A command-line utility for extracting names of people, places, and organizations from text on macOS.
Unofficial implementation of QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition.
A comprehensive toolkit that provides building blocks for LLM-based named entity recognition, attribute extraction, and relation extraction pipelines.
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.
Codify enables data scientists to perform all the tedious and time-consuming tasks such as EDA (exploratory data analysis), data cleaning, data pre-processing, data visualization, modeling, and evaluation in the data-science life cycle, by only conveying the logic of the task in natural language (English) and the system will automatically give out all the relevant python code snippets.
Personal Identifiable Information (PII) entity detection and performance enhancement with synthetic data generation
Code for ACL 2023 Paper: ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NER
Apply prompt learning in Chinese NER tasks