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Assessing the impact of OCR noise on multilingual event detection over digitised documents
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In: ISSN: 1432-5012 ; EISSN: 1432-1300 ; International Journal on Digital Libraries ; https://hal.archives-ouvertes.fr/hal-03635985 ; International Journal on Digital Libraries, Springer Verlag, 2022, ⟨10.1007/s00799-022-00325-2⟩ (2022)
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Assessing the Impact of OCR Noise on Multilingual Event Detection over Digitised Documents ...
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Assessing the Impact of OCR Noise on Multilingual Event Detection over Digitised Documents ...
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L3i_LBPAM at the FinSim-2 task: Learning Financial Semantic Similarities with Siamese Transformers
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In: WWW '21: Companion Proceedings of the Web Conference 2021 ; WWW '21: The Web Conference 2021 ; https://hal.sorbonne-universite.fr/hal-03256324 ; WWW '21: The Web Conference 2021, Apr 2021, Ljubljana (virtual), Slovenia. pp.302-306, ⟨10.1145/3442442.3451384⟩ (2021)
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Impact Analysis of Document Digitization on Event Extraction ...
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Impact Analysis of Document Digitization on Event Extraction ...
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Impact Analysis of Document Digitization on Event Extraction
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In: CEUR Workshop Proceedings ; 4th Workshop on Natural Language for Artificial Intelligence (NL4AI 2020) co-located with the 19th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2020) ; https://hal.archives-ouvertes.fr/hal-03026148 ; 4th Workshop on Natural Language for Artificial Intelligence (NL4AI 2020) co-located with the 19th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2020), Nov 2020, Virtual, Italy. pp.17-28 ; http://sag.art.uniroma2.it/NL4AI/ (2020)
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Impact Analysis of Document Digitization on Event Extraction ...
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Abstract:
This paper tackles the epidemiological event extraction task applied to digitized documents. Event extraction is an information extraction task that focuses on identifying event mentions from textual data. In the context of event-based health surveillance from digitized documents, several key issues remain challenging in spite of great efforts. First, image documents are indexed through their digitized version and thus, they may contain numerous errors, e.g. misspellings. Second, it is important to address international news, which would imply the inclusion of multilingual data. To clarify these important aspects of how to extract epidemic-related events, it remains necessary to maximize the use of digitized data. In this paper, we investigate the impact of working with digitized multilingual documents with dierent levels of synthetic noise over the performance of an event extraction system. This type of analysis, to our knowledge, has not been alleviated in previous research. ...
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URL: https://dx.doi.org/10.5281/zenodo.4734267 https://zenodo.org/record/4734267
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Impact Analysis of Document Digitization on Event Extraction ...
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