Ugglan is a system designed to discover named entities and link them to unique identifiers in a knowledge base. It is based on a combination of a name and nominal dictionary derived from Wikipedia and Wikidata, a named entity recognition module (NER) using fixed ordinally-forgetting encoding (FOFE) trained on the TAC EDL data from 2014-2016, a candidate generation module from the Wikipedia link graph across multiple editions, a PageRank link and cooccurrence graph disambiguator, and finally a reranker trained on the TAC EDL 2015-2016 data.
@article{arxiv.1903.05498,
title = {Overview of the Ugglan Entity Discovery and Linking System},
author = {Marcus Klang and Firas Dib and Pierre Nugues},
journal= {arXiv preprint arXiv:1903.05498},
year = {2019}
}