A neural named entity recognition and multi-type normalization tool for biomedical text mining

This repository contains code used in the EMNLP 2019 paper "Learning Dynamic Context Augmentation for Global Entity Linking".

A spaCy wrapper of OpenTapioca for named entity linking on Wikidata

Tutorial on NE processing for Digital Humanities - DH Utrech 2019

A sytem for Named Entity Disambiguation based on Random Walks and Learning to Rank.

A python module for evaluating NERC and NEL system performances as defined in the HIPE shared tasks (formerly CLEF-HIPE-2020-scorer).

Data for the HIPE 2022 shared task.

Pydantic extension for annotating autocorrecting fields.

Instructions and code to create for a table of UMLS, SNOMED or HPO concepts containing Dutch medical names, usable in named entity recognition and linking methods such MedCAT.

Named Entity Disambiguation and Linking

Data for discrimination of word senses using hypernyms

Python SDK to use Crowlingo APIs

Combining Linking Techniques (CLiT) is an entity linking combination and execution framework, allowing for the seamless integration of EL systems and result exploitation for the sake of system reusability, result reproducibility, analysis and continuous improvement. (We hate waste. Especially wasting time. So let's reuse instead!)

Utility for dictionary-based named entity recognition

Very simple NEL system to be used as baseline

A program for translating the AIDA CoNLL-YAGO dataset to use Wikidata QIDs instead of Wikipedia titles for entity identifiers.

📘 Generate and apply coherent biomedical lexical indices for NER and NEN

Everything to reproduce the CLEF HIPE 2020 campaign results.

A bi-encoder model for named entity linking

NEV short for Named Entity Visualizer is a tool to visualize entities found in unstructured text built in Python.