CLMay 29, 2018

Entity Linking in 40 Languages using MAG

arXiv:1805.11467v14 citations
Originality Synthesis-oriented
AI Analysis

This work incrementally improves multilingual entity linking by expanding language coverage, particularly benefiting users in low-resource language contexts.

The authors extended the MAG entity linking approach to support 40 languages, including low-resource ones like Ukrainian and Korean, by providing an online demo with web services and interfaces for disambiguation against DBpedia and Wikidata.

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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