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id: 33144

UKP-UBC entity linking at TAC-KBP Erbs, Nicolai; Agirre, Eneko; Soroa, Aitor; Barrena, Ander; Etxebarria, Ugaitz; Gurevych, Iryna; […] Book Chapter | Aus: Kay, Martin; Boitet, Christian (Hrsg.): Proceedings of the Fifth Text Analysis Conference (TAC 2012), November 5-6, 2012, National Institute of Standards and Technology, Gaithersburg, Maryland, USA | Gaithersburg; MD: National Institute of Standards and Technology (NIST) | 2012 33144 Endnote: Author(s): Erbs, Nicolai; Agirre, Eneko; Soroa, Aitor; Barrena, Ander; Etxebarria, Ugaitz; Gurevych, Iryna; Zesch, Torsten
Title: UKP-UBC entity linking at TAC-KBP
In: Kay, Martin; Boitet, Christian (Hrsg.): Proceedings of the Fifth Text Analysis Conference (TAC 2012), November 5-6, 2012, National Institute of Standards and Technology, Gaithersburg, Maryland, USA, Gaithersburg; MD: National Institute of Standards and Technology (NIST), 2012 , S. 6
URL: https://tac.nist.gov/publications/2012/participant.papers/UKP_UBC.proceedings.pdf
Publication Type: 4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Language: Englisch
Keywords: Computerlinguistik
Abstract: This paper describes our system for the entity linking task at TAC KBP 2012. We developed a supervised system using dictionarybased, similarity-based, and graph-based features. As a global feature, we apply Personalized PageRank withWikipedia to weight the list of entity candidates. We use two Wikipedia versions with different timestamps to enrich the knowledge base and develop an algorithm for mapping between the two Wikipedia versions. We observed a large drop in system performance when moving from training data to test data. Our error analysis showed that the guidelines for mention annotation were not followed by annotators. An additional mention detection component should improve performance to the expected level. (DIPF/Orig.)
DIPF-Departments: Informationszentrum Bildung