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.
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Updated
Jun 12, 2025 - Python
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.
Implementation of our papers Joint entity recognition and relation extraction as a multi-head selection problem (Expert Syst. Appl, 2018) and Adversarial training for multi-context joint entity and relation extraction (EMNLP, 2018).
CCKS 2019 中文短文本实体链指比赛技术创新奖解决方案
Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling
DIET Classifier mini implementation on pytorch.
Metadata and data identification tool and Python library. Identifies PII, common identifiers, language specific identifiers. Fully customizable and flexible rules
A Python library for generating and loading synthetic and real-world datasets tailored for graph-based applications.
Entity extraction using BERT + CRF for single-tun / multi-turn setting in dialogues
Entity recognition codes for "2019 Datagrand Cup: Text Information Extraction Challenge"
Tool to extracts the text from a web article urls and get frequency words, entities recognition, automatic summary and more
Registry of metadata identifier entities like UUID, GUID, person fullname, address and so on. Linked with other sources
Python library for custom entity recognition using Sklearn CRF
Maintenance Information Extraction (MaintIE)
文言文命名实体识别,基于BILSTM+CRF完成文言文的命名实体实体,识别实体包括人物、地点、机构、时间等。
The Ovation Framework for Conversational Intelligence
Musical Named Entity Recognition System for Twitter
This project can identify names, time, and common disasters and other named entities. (本项目可以识别地名、时间和常见的灾害等命名实体。)
This repository contains the code for the paper "PoliToHFI at SemEval-2023 Task 6"
A ERD server for 2014 Entity Recognition and Disambiguation Challenge
A Pipeline for Entity Recognition and Relation Extraction Written in Pytorch
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