papers AI Learner
The Github is limit! Click to go to the new site.

Overview of the Ugglan Entity Discovery and Linking System

2019-03-13
Marcus Klang, Firas Dib, Pierre Nugues

Abstract

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.

Abstract (translated by Google)
URL

http://arxiv.org/abs/1903.05498

PDF

http://arxiv.org/pdf/1903.05498


Similar Posts

Comments