Zobrazeno 1 - 10
of 24 216
pro vyhledávání: '"[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]"'
Autor:
Ariane Pinche, Peter Stokes
Publikováno v:
Journal of Data Mining and Digital Humanities, Vol Historical Documents and... (2024)
With this special issue of the Journal of Data Mining and Digital Humanities (JDMDH), we bringtogether in one single volume several experiments, projects and reflections related to automatic textrecognition applied to historical documents. More and m
Externí odkaz:
https://doaj.org/article/0aa874c87b904ad2a6b793699d0b0b80
Autor:
Sergio Torres Aguilar, Vincent Jolivet
Publikováno v:
Journal of Data Mining and Digital Humanities, Vol Historical Documents and... (2023)
Handwritten Text Recognition (HTR) techniques aim to accurately recognize sequences of characters in input manuscript images by training artificial intelligence models to capture historical writing features. Efficient HTR models can transform digitiz
Externí odkaz:
https://doaj.org/article/77a735f572114a008766674e3b8e207e
Autor:
Thibault Clérice
Publikováno v:
Journal of Data Mining and Digital Humanities, Vol Historical Documents and... (2023)
Layout Analysis (the identification of zones and their classification) is the first step along line segmentation in Optical Character Recognition and similar tasks. The ability of identifying main body of text from marginal text or running titles mak
Externí odkaz:
https://doaj.org/article/7b25fd07d3b84644b18d14b5ead79025
Autor:
Ariane Pinche
Publikováno v:
Journal of Data Mining and Digital Humanities, Vol Historical Documents and... (2023)
In the Humanities, the emergence of digital methods has opened up research questions to quantitative analysis. This is why HTR technology is increasingly involved in humanities research projects following precursors such as the Himanis project. Howev
Externí odkaz:
https://doaj.org/article/d8b5d0bf413f4f90a9d62b3c2ff02c2f
Autor:
Pauline Jacsont, Elina Leblanc
Publikováno v:
Journal of Data Mining and Digital Humanities, Vol Historical Documents and... (2023)
This study stems from the Desenrollando el cordel (Untangling the cordel) project, which focuses on 19th-century Spanish prints editing. It evaluates the impact of image enhancement methods on the automatic transcription of low-quality documents, bot
Externí odkaz:
https://doaj.org/article/288ed5e1e739466fabf2f67e7d22aed1
Autor:
Françoise Bacquelaine
Publikováno v:
Journal of Data Mining and Digital Humanities, Vol Towards robotic translation?, Iss III. Biotranslation vs.... (2022)
Malgré les progrès de la traduction automatique neuronale, l'intelligence artificielle ne permet toujours pas à la machine de comprendre pour déjouer tous les pièges de la traduction, notamment ceux de l'ambiguïté lexicale, phraséologique, sy
Externí odkaz:
https://doaj.org/article/1de1b2075b2e4fa39434e3820d93d61e
Publikováno v:
Journal of Data Mining and Digital Humanities, Vol NLP4DH (2022)
This paper presents ACCWSI (Attentive Context Clustering WSI), a method for Word Sense Induction, suitable for languages with limited resources. Pretrained on a small corpus and given an ambiguous word (a query word) and a set of excerpts that contai
Externí odkaz:
https://doaj.org/article/93ff64a6090e429aa509c8d640fd1591
Publikováno v:
Journal of Data Mining and Digital Humanities, Vol 2021 (2021)
Vital records are rich of meaningful historical data concerning city as well as countryside inhabitants that can be used, among others, to study former populations and then reveal the social, economic and demographic characteristics of those populati
Externí odkaz:
https://doaj.org/article/76278c95fabd41729e099ba0dcaa7a67
Autor:
'Andrea, Maurizio D
Publikováno v:
Operations Research Letters. 51:142-145
In increasingly different contexts, it happens that a human player has to interact with artificial players who make decisions following decision-making algorithms. How should the human player play against these algorithms to maximize his utility? Doe
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing
ISPRS Journal of Photogrammetry and Remote Sensing, 2023, 197, pp.274-291. ⟨10.1016/j.isprsjprs.2023.02.001⟩
ISPRS Journal of Photogrammetry and Remote Sensing, 2023, 197, pp.274-291. ⟨10.1016/j.isprsjprs.2023.02.001⟩
International audience