Entity Linking in 40 Languages using MAG
Diego Moussallem, Ricardo Usbeck, Michael R\"oder, Axel-Cyrille Ngonga, Ngomo

TL;DR
This paper presents an extension of the MAG entity linking system to 40 languages, including low-resource languages, enabling easy access via web services and demonstrating its effectiveness across diverse languages.
Contribution
The paper introduces a multilingual extension of MAG for entity linking in 40 languages, including low-resource ones, with accessible web services and demonstrated performance.
Findings
Supports 40 languages, including low-resource languages.
Enables disambiguation against DBpedia and Wikidata.
Provides user-friendly web interface and API access.
Abstract
A plethora of Entity Linking (EL) approaches has recently been developed. While many claim to be multilingual, the MAG (Multilingual AGDISTIS) approach has been shown recently to outperform the state of the art in multilingual EL on 7 languages. With this demo, we extend MAG to support EL in 40 different languages, including especially low-resources languages such as Ukrainian, Greek, Hungarian, Croatian, Portuguese, Japanese and Korean. Our demo relies on online web services which allow for an easy access to our entity linking approaches and can disambiguate against DBpedia and Wikidata. During the demo, we will show how to use MAG by means of POST requests as well as using its user-friendly web interface. All data used in the demo is available at https://hobbitdata.informatik.uni-leipzig.de/agdistis/
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Taxonomy
TopicsTopic Modeling · Data Quality and Management · Semantic Web and Ontologies
