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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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Discovering Spatial Relations in Litterature: what is the influence of OCR noise ?
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In: NewsEye’s international conference ; https://hal.archives-ouvertes.fr/hal-03199729 ; NewsEye’s international conference, Mar 2021, Paris, France (2021)
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Multilingual Epidemic Event Extraction
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In: Towards Open and Trustworthy Digital Societies. 23rd International Conference on Asia-Pacific Digital Libraries, ICADL 2021, Virtual Event, December 1–3, 2021, Proceedings ; https://hal.archives-ouvertes.fr/hal-03480551 ; Hao-Ren Ke; Chei Sian Lee; Kazunari Sugiyama. Towards Open and Trustworthy Digital Societies. 23rd International Conference on Asia-Pacific Digital Libraries, ICADL 2021, Virtual Event, December 1–3, 2021, Proceedings, 13133, Springer, pp.139-156, 2021, Lecture Notes in Computer Science, 978-3-030-91668-8. ⟨10.1007/978-3-030-91669-5_12⟩ (2021)
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Étude comparative de méthodes de classification multilingue appliquées à l'épidémiologie
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In: COnférence en Recherche d'Informations et Applications - CORIA 2021, French Information Retrieval Conference ; https://hal.archives-ouvertes.fr/hal-03320343 ; COnférence en Recherche d'Informations et Applications - CORIA 2021, French Information Retrieval Conference, Apr 2021, Grenoble (virtuel), France (2021)
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« Exploiter un corpus de données textuelles sans post-traitement : l’écriture burlesque de la Fronde »
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In: ISSN: 2736-2337 ; Humanités numériques ; https://hal.archives-ouvertes.fr/hal-03500616 ; Humanités numériques, Bruxelles: Humanistica, 2021 (2021)
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Étude comparative de méthodes de classification multilingue appliquées à l'épidémiologie ...
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Impact Analysis of Document Digitization on Event Extraction ...
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Token-level Multilingual Epidemic Dataset for Event Extraction ...
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Impact Analysis of Document Digitization on Event Extraction ...
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Token-level Multilingual Epidemic Dataset for Event Extraction ...
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Étude comparative de méthodes de classification multilingue appliquées à l'épidémiologie ...
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Multilingual Epidemiological Text Classification: A Comparative Study ...
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Multilingual Epidemiological Text Classification: A Comparative Study ...
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Abstract:
In this paper, we approach the multilingual text classification task in the context of the epidemiological field. Multilingual text classification models tend to perform differently across different languages (low- or high-resourced), more particularly when the dataset is highly imbalanced, which is the case for epidemiological datasets. We conduct a comparative study of different machine and deep learning text classification models using a dataset comprising news articles related to epidemic outbreaks from six languages, four low-resourced and two high-resourced, in order to analyze the influence of the nature of the language, the structure of the document, and the size of the data. Our findings indicate that the performance of the models based on fine-tuned language models exceeds by more than 50% the chosen baseline models that include a specialized epidemiological news surveillance system and several machine learning models. Also, low-resource languages are highly influenced not only by the typology of ...
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URL: https://zenodo.org/record/4476039 https://dx.doi.org/10.5281/zenodo.4476039
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SinNer@Clef-Hipe2020 : Sinful adaptation of SotA models for Named Entity Recognition in French and German
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In: CLEF 2020 Working Notes. Working Notes of CLEF 2020 - Conference and Labs of the Evaluation Forum ; https://hal.inria.fr/hal-02984746 ; CLEF 2020 Working Notes. Working Notes of CLEF 2020 - Conference and Labs of the Evaluation Forum, Sep 2020, Thessaloniki / Virtual, Greece ; https://impresso.github.io/CLEF-HIPE-2020/ (2020)
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Daniel@FinTOC’2 Shared Task: Title Detection and Structure Extraction
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In: st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation @COLING’2020 ; 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation @COLING’2020 ; https://hal.archives-ouvertes.fr/hal-03024867 ; 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation @COLING’2020, Dec 2020, Barcelone, Spain (2020)
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