Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Provatorova, Vera"'
Social network analysis allows researchers to discover insights from connections between people. While the process of building a social network is relatively straightforward for contemporary social media, deriving connections from historical archives
Externí odkaz:
http://arxiv.org/abs/2410.13980
Autor:
Provatorova, Vera, Tedeschi, Simone, Vakulenko, Svitlana, Navigli, Roberto, Kanoulas, Evangelos
Entity disambiguation (ED) is the task of mapping an ambiguous entity mention to the corresponding entry in a structured knowledge base. Previous research showed that entity overshadowing is a significant challenge for existing ED models: when presen
Externí odkaz:
http://arxiv.org/abs/2210.06164
Publikováno v:
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021) 10501-10510
Entity disambiguation (ED) is the last step of entity linking (EL), when candidate entities are reranked according to the context they appear in. All datasets for training and evaluating models for EL consist of convenience samples, such as news arti
Externí odkaz:
http://arxiv.org/abs/2108.10949
Autor:
Capurro, Carlotta1 (AUTHOR) c.capurro@uu.nl, Provatorova, Vera2 (AUTHOR) v.provatorova@uva.nl, Kanoulas, Evangelos2 (AUTHOR) e.kanoulas@uva.nl
Publikováno v:
Heritage (2571-9408). Dec2023, Vol. 6 Issue 12, p7482-7494. 13p.
