المؤلفون: Irene Benedetto, Gianpiero Sportelli, Sara Bertoldo, Francesco Tarasconi, Luca Cagliero, Giuseppe Giacalone

المساهمون: Benedetto, Irene, Sportelli, Gianpiero, Bertoldo, Sara, Tarasconi, Francesco, Cagliero, Luca, Giacalone, Giuseppe

مصطلحات موضوعية: Multi-Class Legal Document Classification, Pretrained Language Model, Natural Language Processing

وصف الملف: ELETTRONICO

Relation: ispartofbook:Procedia Computer Science; 27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems; volume:225; firstpage:2244; lastpage:2253; numberofpages:10; journal:PROCEDIA COMPUTER SCIENCE; https://hdl.handle.net/11583/2982618; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85183542870; https://www.sciencedirect.com/science/article/pii/S187705092301373X

الاتاحة: https://hdl.handle.net/11583/2982618
https://doi.org/10.1016/j.procs.2023.10.215
https://www.sciencedirect.com/science/article/pii/S187705092301373X

المؤلفون: GANİZ, MURAT CAN

المساهمون: Akca O., Bayrak G., Issifu A. M. , GANİZ M. C.

مصطلحات موضوعية: Bilgisayar Bilimleri, Algoritmalar, Bilgi Güvenliği ve Güvenilirliği, Mühendislik ve Teknoloji, Computer Sciences, algorithms, Information Security and Reliability, Engineering and Technology, Mühendislik, Bilişim ve Teknoloji (ENG), Bilgisayar Bilimi, BİLGİSAYAR BİLİMİ, YAPAY ZEKA, BİLGİ SİSTEMLERİ, Engineering, Computing & Technology (ENG), COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, INFORMATION SYSTEMS, Bilgi sistemi, Fizik Bilimleri, Bilgisayar Bilimi Uygulamaları, Physical Sciences, Computer Science Applications, Domain-specific language models, Legal document classification, Natural Language Processing

وصف الملف: application/pdf

Relation: 16th International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2022; Akca O., Bayrak G., Issifu A. M. , GANİZ M. C. , \"Traditional Machine Learning and Deep Learning-based Text Classification for Turkish Law Documents using Transformers and Domain Adaptation\", 16th International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2022, Biarritz, Fransa, 8 - 12 Ağustos 2022; https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85139594778&origin=inward; https://hdl.handle.net/11424/284090

الاتاحة: https://hdl.handle.net/11424/284090
https://doi.org/10.1109/inista55318.2022.9894051
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85139594778&origin=inward

المؤلفون: Gergely Csányi, Tamás Orosz

المصدر: Acta Technica Jaurinensis, Vol 15, Iss 1, Pp 15-21 (2021)

مصطلحات موضوعية: text augmentation, augmenting legal cases, legal document classification, data augmentation, Technology

وصف الملف: electronic resource

Relation: https://acta.sze.hu/index.php/acta/article/view/628; https://doaj.org/toc/2064-5228

URL الوصول: https://doaj.org/article/a21b52f5dbef4491955f4b3a71804afc

المؤلفون: Gergely Márk Csányi, Renátó Vági, Dániel Nagy, István Üveges, János Pál Vadász, Andrea Megyeri, Tamás Orosz

المصدر: Applied Sciences; Volume 12; Issue 3; Pages: 1470

مصطلحات موضوعية: legal document classification, legaltech, digital twin, multi-label documents, multi-label classification

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: Computing and Artificial Intelligence; https://dx.doi.org/10.3390/app12031470

الاتاحة: https://doi.org/10.3390/app12031470

المؤلفون: Akça, Onur

المساهمون: Ganiz, Murat Can, Marmara Üniversitesi, Fen Bilimleri Enstitüsü, Bilgisayar Mühendisliği Anabilim Dalı, Bilgisayar Mühendisliği Bilim Dalı

مصطلحات موضوعية: Doğal Dil İşleme, Büyük Dil Modelleri, Alan Uyarlaması, MetinSınıflandırma, Hukuki Belge Sınıflandırma Natural Language Processing, Large Language Models, Domain Adaptation, Text Classification, Legal Document Classification

وصف الملف: XIII, 53 sayfa

Relation: https://katalog.marmara.edu.tr/veriler/cokluortam/cokluortam/A/D/E/B/C/6501a398342ff.pdf; https://hdl.handle.net/11424/293724

الاتاحة: https://hdl.handle.net/11424/293724
https://katalog.marmara.edu.tr/veriler/cokluortam/cokluortam/A/D/E/B/C/6501a398342ff.pdf

المؤلفون: Onur Akca, Giyaseddin Bayrak, Abdul Majeed Issifu, Murat Can Ganiz

المساهمون: Akca O., Bayrak G., Issifu A. M. , GANİZ M. C.

مصطلحات موضوعية: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, Information Security and Reliability, algorithms, BİLGİSAYAR BİLİMİ, BİLGİ SİSTEMLERİ, BİLGİSAYAR BİLİMİ, YAPAY ZEKA, Yapay Zeka, Artificial Intelligence, Bilgisayar Bilimleri, Domain-specific language models, COMPUTER SCIENCE, INFORMATION SYSTEMS, Engineering, Computing & Technology (ENG), Natural Language Processing, Bilgisayar Bilimi Uygulamaları, Computer Sciences, Legal document classification, Bilgi Güvenliği ve Güvenilirliği, Mühendislik, Bilişim ve Teknoloji (ENG), COMPUTER SCIENCE, Bilgi sistemi, Computer Science Applications, Fizik Bilimleri, Physical Sciences, Engineering and Technology, Bilgisayar Bilimi, Mühendislik ve Teknoloji, Algoritmalar, Information Systems

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fe11629e9fc6f908972dcba5a77a036
https://hdl.handle.net/11424/284090

المؤلفون: Francesconi E.

المصدر: Firenze: European Press Academic Publishing, 2007
info:cnr-pdr/source/autori:Francesconi E./titolo:Technologies for European Integration. Standards-based Interoperability of Legal Information Systems/editore: /anno:2007

مصطلحات موضوعية: Legal Document Standards, Legal Drafting, ComputingMilieux_LEGALASPECTSOFCOMPUTING, Machine Learning for Legal Document Classification

URL الوصول: https://explore.openaire.eu/search/publication?articleId=cnr_________::09c26d24cde825dd86907ed135d7e349
http://www.cnr.it/prodotto/i/143454

المؤلفون: Csányi Gergely Márk, Vági Renátó, Nagy Dániel, Üveges István, Vadász János Pál, Megyeri Andrea, Orosz Tamás

المساهمون: Eötvös József Kutatóközpont

مصطلحات موضوعية: Digital twin, Legal document classification, Legaltech, Multi-label classification, Multi-label documents, Társadalomtudományok, Társadalomtudományok/Állam- és jogtudományok

وصف الملف: application/pdf

Relation: nke:2076-3417; http://hdl.handle.net/20.500.12944/17573; nke:10.3390/app12031470; nke:32634154; nke:Applied Sciences (Switzerland); nke:12; nke:3; nke:000760224200001; nke:2-s2.0-85123611535; LOMS: https://tudasportal.uni-nke.hu/xmlui/bitstream/20.500.12944/17573/1/Building_a_Production_Ready.pdf

الاتاحة: https://hdl.handle.net/20.500.12944/17573