publication . Preprint . Article . 2021

Event-based Access to Historical Italian War Memoirs

Marco Rovera; Federico Nanni; Simone Paolo Ponzetto;
Open Access English
  • Published: 22 Jan 2021
Abstract
Comment: 23 pages, 6 figures
Persistent Identifiers
Subjects
free text keywords: Computer Science - Computation and Language, Computer Science - Digital Libraries, Computer Science - Information Retrieval, Conservation, Computer Graphics and Computer-Aided Design, Information Systems, Computer Science Applications, History, Memoir, Classics, Event based
52 references, page 1 of 4

[1] James Allan, Ron Papka, and Victor Lavrenko. 1998. On-line new event detection and tracking. In Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval. ACM, 37-45.

[2] Alessio Palmero Aprosio and Giovanni Moretti. 2016. Italy goes to Stanford: a collection of CoreNLP modules for Italian. arXiv preprint arXiv:1609.06204 (2016).

[3] Mariona Coll Ardanuy and Caroline Sporleder. 2014. Structure-based clustering of novels. In Proceedings of the 3rd Workshop on Computational Linguistics for Literature (CLFL). 31-39.

[4] Collin F Baker, Charles J Fillmore, and John B Lowe. 1998. The berkeley framenet project. In Proceedings of the 17th international conference on Computational linguistics-Volume 1. Association for Computational Linguistics, 86-90.

[5] David M Blei, Andrew Y Ng, and Michael I Jordan. 2003. Latent dirichlet allocation. Journal of machine Learning research 3, Jan (2003), 993-1022.

[6] Cameron Blevins. 2014. Space, Nation, and the Triumph of Region: A View of the World from Houston. The Journal of American History 101, 1 (2014), 122-147.

[7] Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2016. Enriching word vectors with subword information. arXiv preprint (2016).

[8] Rudi Bonfiglioli and Federico Nanni. 2015. From Close to Distant and Back: How to Read with the Help of Machines. In International Conference on History and Philosophy of Computing. Springer, 87-100.

[9] Nathanael Chambers and Dan Jurafsky. 2008. Unsupervised learning of narrative event chains. Proceedings of ACL-08: HLT (2008), 789-797.

[10] Nathanael Chambers and Dan Jurafsky. 2009. Unsupervised learning of narrative schemas and their participants. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2-Volume 2. Association for Computational Linguistics, 602-610.

[11] Jonathan Chang, Sean Gerrish, Chong Wang, Jordan L Boyd-Graber, and David M Blei. 2009. Reading tea leaves: How humans interpret topic models. In Advances in neural information processing systems. 288-296.

[12] Agata Cybulska and Piek Vossen. 2011. Historical event extraction from text. In Proceedings of the 5th ACL-HLT Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities. [OpenAIRE]

[13] Agata Cybulska and Piek Vossen. 2013. Semantic relations between events and their time, locations and participants for event coreference resolution. In Proceedings of RANLP 2013. 156-163.

[14] Agata Cybulska and Piek Vossen. 2015. " Bag of Events" Approach to Event Coreference Resolution. Supervised Classification of Event Templates. Int. J. Comput. Linguistics Appl. 6, 2 (2015), 11-27.

[15] Gerhard Gossen, Elena Demidova, and Thomas Risse. 2017. Extracting eventcentric document collections from large-scale Web archives. In International Conference on Theory and Practice of Digital Libraries. Springer, 116-127.

52 references, page 1 of 4
Abstract
Comment: 23 pages, 6 figures
Persistent Identifiers
Subjects
free text keywords: Computer Science - Computation and Language, Computer Science - Digital Libraries, Computer Science - Information Retrieval, Conservation, Computer Graphics and Computer-Aided Design, Information Systems, Computer Science Applications, History, Memoir, Classics, Event based
52 references, page 1 of 4

[1] James Allan, Ron Papka, and Victor Lavrenko. 1998. On-line new event detection and tracking. In Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval. ACM, 37-45.

[2] Alessio Palmero Aprosio and Giovanni Moretti. 2016. Italy goes to Stanford: a collection of CoreNLP modules for Italian. arXiv preprint arXiv:1609.06204 (2016).

[3] Mariona Coll Ardanuy and Caroline Sporleder. 2014. Structure-based clustering of novels. In Proceedings of the 3rd Workshop on Computational Linguistics for Literature (CLFL). 31-39.

[4] Collin F Baker, Charles J Fillmore, and John B Lowe. 1998. The berkeley framenet project. In Proceedings of the 17th international conference on Computational linguistics-Volume 1. Association for Computational Linguistics, 86-90.

[5] David M Blei, Andrew Y Ng, and Michael I Jordan. 2003. Latent dirichlet allocation. Journal of machine Learning research 3, Jan (2003), 993-1022.

[6] Cameron Blevins. 2014. Space, Nation, and the Triumph of Region: A View of the World from Houston. The Journal of American History 101, 1 (2014), 122-147.

[7] Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2016. Enriching word vectors with subword information. arXiv preprint (2016).

[8] Rudi Bonfiglioli and Federico Nanni. 2015. From Close to Distant and Back: How to Read with the Help of Machines. In International Conference on History and Philosophy of Computing. Springer, 87-100.

[9] Nathanael Chambers and Dan Jurafsky. 2008. Unsupervised learning of narrative event chains. Proceedings of ACL-08: HLT (2008), 789-797.

[10] Nathanael Chambers and Dan Jurafsky. 2009. Unsupervised learning of narrative schemas and their participants. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2-Volume 2. Association for Computational Linguistics, 602-610.

[11] Jonathan Chang, Sean Gerrish, Chong Wang, Jordan L Boyd-Graber, and David M Blei. 2009. Reading tea leaves: How humans interpret topic models. In Advances in neural information processing systems. 288-296.

[12] Agata Cybulska and Piek Vossen. 2011. Historical event extraction from text. In Proceedings of the 5th ACL-HLT Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities. [OpenAIRE]

[13] Agata Cybulska and Piek Vossen. 2013. Semantic relations between events and their time, locations and participants for event coreference resolution. In Proceedings of RANLP 2013. 156-163.

[14] Agata Cybulska and Piek Vossen. 2015. " Bag of Events" Approach to Event Coreference Resolution. Supervised Classification of Event Templates. Int. J. Comput. Linguistics Appl. 6, 2 (2015), 11-27.

[15] Gerhard Gossen, Elena Demidova, and Thomas Risse. 2017. Extracting eventcentric document collections from large-scale Web archives. In International Conference on Theory and Practice of Digital Libraries. Springer, 116-127.

52 references, page 1 of 4
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