Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Ho-Pun Lam"'
Autor:
Ho-Pun Lam, Mustafa Hashmi
Publikováno v:
Knowledge, Vol 2, Iss 4, Pp 618-651 (2022)
Due to pressure from regulatory authorities, the requirement to remain compliant has tremendously increased over the last decade. To support compliance-related activities, a plethora of compliance management frameworks (CMFs), compliance languages an
Externí odkaz:
https://doaj.org/article/e507928007a9443d91a0fc0afa425787
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031146015
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc85947585fc10440f15a7ec87379429
https://doi.org/10.1007/978-3-031-14602-2_4
https://doi.org/10.1007/978-3-031-14602-2_4
Publikováno v:
AI Approaches to the Complexity of Legal Systems XI-XII ISBN: 9783030898106
AICOL
AICOL
Binary “YES-NO” notions of process compliance are not very helpful to managers for assessing the operational performance of their company because a large number of cases fall in the grey area of partial compliance. Hence, it is necessary to have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58316979be9bb19788ef72f006c7fade
https://doi.org/10.1007/978-3-030-89811-3_7
https://doi.org/10.1007/978-3-030-89811-3_7
Autor:
Casanovas, Pompeu, Hashmi, Mustafa, Barnes, Jeffrey, de Koker, Louis, Ho-Pun Lam, Governatori, Guido, Zeleznikow, John
Cracking the Code: Rulemaking for Humans and Machines is an OECD Working Paper authored by James Mohun and Alex Roberts and released on 14 October 2020. This Working Paper on Public Governance, produced by the OECD Observatory of Public Sector Innova
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::331b68562d53f46aa5341893e08bfe06
Publikováno v:
KEOD
Automating information extraction from legal documents and formalising them into a machine understandable format has long been an integral challenge to legal reasoning. Most approaches in the past consist of highly complex solutions that use annotate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4eefca17b877cc38dd37f905a230ccc
https://doi.org/10.5220/0010122400860097
https://doi.org/10.5220/0010122400860097
Autor:
Gabriela Ferraro, Francesco Olivieri, Silvano Colombo Tosatto, Guido Governatori, Ho-Pun Lam, Nick van Beest, Mohammad Badiul Islam
Publikováno v:
New Frontiers in Artificial Intelligence ISBN: 9783030587895
JSAI-isAI Workshops
JSAI-isAI Workshops
Extracting and formalising legal norms from legal documents is a time-consuming and complex procedure. Therefore, the automatic methods that can accelerate this process are in high demand. In this paper, we address two major questions related to this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29b169f3f154b6cc0919125e8ea2a4f5
https://doi.org/10.1007/978-3-030-58790-1_5
https://doi.org/10.1007/978-3-030-58790-1_5
Automating information extraction from legal documents and formalising them into a machine understandable format has long been an integral challenge to legal reasoning. Most approaches in the past consist of highly complex solutions that use annotate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acc6494a84f1693634e02ecd47e5d826
Publikováno v:
Knowledge and Information Systems. 57:79-133
Literature on business process compliance (BPC) has predominantly focused on the alignment of the regulatory rules with the design, verification and validation of business processes. Previously surveys on BPC have been conducted with specific context
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e189632f6c5b8b83410361cfc15bf872
https://doi.org/10.1007/s10115-017-1142-1
https://doi.org/10.1007/s10115-017-1142-1
Autor:
Ho-Pun Lam, Sajib Mistry
Publikováno v:
Lecture Notes in Business Information Processing ISBN: 9783030322410
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b32306493f84ad8dbf23832fed86a1a6
https://doi.org/10.1007/978-3-030-32242-7
https://doi.org/10.1007/978-3-030-32242-7
Autor:
Mustafa Hashmi, Ho-Pun Lam
In order to automate verification process, regulatory rules written in natural language need to be translated into a format that machines can understand. However, none of the existing formalisms can fully represent the elements that appear in legal n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60fe51ed97deab7aab5ad4dd3ffb890d