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
A python module for evaluating NERC and NEL system performances as defined in the HIPE shared tasks (formerly CLEF-HIPE-2020-scorer).
Pydantic extension for annotating autocorrecting fields.
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
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.
Simple exact-matching algorithm to standardise drug names appearing on the DrugBank open-access repository
Annotated corpus of 19th century classical commentaries. Supported tasks: named entity recognition, entity linking and citation mining.
Post-processing filter for (Named) Entity Linking
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