2014 UBCEntityRecognitionandDisambig

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Subject Headings: ERD 2014 Challenge.

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Abstract

This paper describes the system developed at the University of the Basque Country (UBC) for the Entity Recognition and Disambiguation Challenge (ERD 2014). We developed a single system for both long and short tracks. We implemented a very basic mention detection component and complement it with a strong disambiguation step, based on Personalized PageRank algorithm. The result and confidence of the disambiguation step is used to decide whether a mention has to be linked, that is, we only link mentions if the disambiguation algorithm is confident enough. This simple method obtained good results in the ERD challenge, reaching the top 10 for both tracks.

References

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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2014 UBCEntityRecognitionandDisambigEneko Agirre
Aitor Soroa
Ander Barrena
UBC Entity Recognition and Disambiguation at ERD 201410.1145/2633211.26343572014