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1
Assessing the impact of OCR noise on multilingual event detection over digitised documents
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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2
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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4
L3i_LBPAM at the FinSim-2 task: Learning Financial Semantic Similarities with Siamese Transformers
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)
Abstract: International audience ; In this paper, we present the different methods proposed for the FinSIM-2 Shared Task 2021 on Learning Semantic Similarities for the Financial domain. The main focus of this task is to evaluate the classification of financial terms into corresponding top-level concepts (also known as hypernyms) that were extracted from an external ontology. We approached the task as a semantic textual similarity problem. By relying on a siamese network with pre-trained language model encoders, we derived semantically meaningful term embeddings and computed similarity scores between them in a ranked manner. Additionally, we exhibit the results of different baselines in which the task is tackled as a multi-class classification problem. The proposed methods outperformed our baselines and proved the robustness of the models based on textual similarity siamese network. CCS CONCEPTS • Computing methodologies → Lexical semantics; Neural networks.
Keyword: [INFO]Computer Science [cs]; Hypernym detection; semantic similarities; siamese networks
URL: https://hal.sorbonne-universite.fr/hal-03256324
https://hal.sorbonne-universite.fr/hal-03256324/document
https://doi.org/10.1145/3442442.3451384
https://hal.sorbonne-universite.fr/hal-03256324/file/Nguyen%20et%20al.%20-%202021%20-%20L3i_LBPAM%20at%20the%20FinSim-2%20task%20Learning%20Financial.pdf
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5
Impact Analysis of Document Digitization on Event Extraction ...
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Impact Analysis of Document Digitization on Event Extraction ...
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7
Impact Analysis of Document Digitization on Event Extraction
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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8
Impact Analysis of Document Digitization on Event Extraction ...
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9
Impact Analysis of Document Digitization on Event Extraction ...
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