Entity Linking for Historical Documents: Challenges and Solutions

Author:

Linhares Pontes Elvys,Cabrera-Diego Luis Adrián,Moreno Jose G.,Boros Emanuela,Hamdi Ahmed,Sidère Nicolas,Coustaty Mickaël,Doucet Antoine

Publisher

Springer International Publishing

Reference31 articles.

1. Agirre, E., Barrena, A., de Lacalle, O.L., Soroa, A., Fernando, S., Stevenson, M.: Matching cultural heritage items to Wikipedia. In: Eight International Conference on Language Resources and Evaluation (LREC) (2012)

2. Boros, E., et al.: Robust named entity recognition and linking on historical multilingual documents. In: Cappellato, L., Eickhoff, C., Ferro, N., Névéol, A. (eds.) CLEF 2020 Working Notes. Working Notes of CLEF 2020 - Conference and Labs of the Evaluation Forum. CEUR-WS (2020)

3. Communications in Computer and Information Science;C Brando,2015

4. Brando, C., Frontini, F., Ganascia, J.G.: REDEN: named entity linking in digital literary editions using linked data sets. Complex Syst. Inf. Model. Q. 7, 60–80 (2016). https://doi.org/10.7250/csimq.2016-7.04. https://hal.sorbonne-universite.fr/hal-01396037

5. Cucerzan, S.: Large-scale named entity disambiguation based on Wikipedia data. In: Proceedings of the 2007 Joint Conference on mpirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pp. 708–716. Association for Computational Linguistics, Prague, Czech Republic, Jun 2007. https://www.aclweb.org/anthology/D07-1074

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