About: Combining Semantic Web and Machine Learning for Auditable Legal Key Element Extraction

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An Entity of Type : wikibase:Item, within Data Space : wikidata.demo.openlinksw.com associated with source document(s)

Attributes	Values
rdf:type	Item
description	article scientifique publié en 2023 (fr)
publication date	wds:Q118894562-57229C11-92B4-475B-AF61-5540E257C2D2
publication date	2023-01-01 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q118894562-0b4b3cf4-479c-3909-f3b4-2cc252629d08
language of work or name	English
cites work	wds:Q118894562-0d0999fb-44b0-304a-4cc8-6460cf87bb5f wds:Q118894562-2bd8acc2-4638-b247-ee78-d7ad20712c1d wds:Q118894562-4f1d37a7-40b3-5fb0-59bd-f3868e273bdb wds:Q118894562-672f68eb-4ffa-f568-e3ea-56b49e1dadf9 wds:Q118894562-6ffa7ddb-4944-98fd-dd77-ff80fd723301 wds:Q118894562-94e44721-4850-d332-cdfe-ae444cdaf635 wds:Q118894562-a5a7a837-4eff-35f9-03b3-aea478868785 wds:Q118894562-b66e607d-408a-2446-9f42-7010f0c0e153 wds:Q118894562-d3ff9a04-49ad-f7f3-b04b-b0e796e49df7 wds:Q118894562-eb8d44b2-42c6-b1a2-bebe-8323f531b1e5
cites work	Integrating NLP Using Linked Data PrIMe: A methodology for developing provenance-aware applications A Semantic Framework to Support AI System Accountability and Audit Towards an Open Platform for Legal Information Model Cards for Model Reporting WiC-TSV: An Evaluation Benchmark for Target Sense Verification of Words in Context A broad-coverage collection of portable NLP components for building shareable analysis pipelines Bringing Transparency Design into Practice UnifiedViews: An ETL tool for RDF data management Fine-grained Named Entity Recognition in Legal Documents
author name string	wds:Q118894562-0FBB118D-B082-446D-A079-715BDAFDFCB3 wds:Q118894562-3A16F371-1059-4A2F-832A-9A145873BEE1 wds:Q118894562-705DD19E-6D4F-4A1F-9C78-B695E7F57FBD
author name string	Tomasz Miksa Gregor Käfer Sotirios Karampatakis
rdfs:label	Combining Semantic Web and Machine Learning for Auditable Legal Key Element Extraction (en)
skos:prefLabel	Combining Semantic Web and Machine Learning for Auditable Legal Key Element Extraction (en)
name	Combining Semantic Web and Machine Learning for Auditable Legal Key Element Extraction (en)
author	wds:Q118894562-07190432-E147-4F49-B357-75DE5AF9C397 wds:Q118894562-57126884-C3CA-44DB-AB29-4C01C7D9D989 wds:Q118894562-9032568B-66EE-4025-8914-34D55132CC23
author	Fajar J. Ekaputra Anna Breit Laura Waltersdorfer
title	wds:Q118894562-88921B92-6224-4576-8BAE-81D1AE00E9DF
title	Combining Semantic Web and Machine Learning for Auditable Legal Key Element Extraction (en)
page(s)	wds:Q118894562-D901D0EC-E491-456D-ABB4-EB89B6F2703B
page(s)	609-624
instance of	wds:Q118894562-2d8738f2-446c-f686-4a5a-01555c2746d5 wds:Q118894562-C0BD4176-AEB5-4B04-B59B-B491ACA08721
instance of	chapter scholarly article
main subject	wds:Q118894562-287cc6d7-4a6b-aa16-1a50-4d42bc3edaa8 wds:Q118894562-e28829b1-45b2-f508-5a19-17a65eeef796
main subject	machine learning Semantic Web
published in	wds:Q118894562-01415776-4081-0142-dbf1-f52cbf3542d8
published in	The Semantic Web: 20th International Conference, ESWC 2023, Hersonissos, Crete, Greece, May 28–June 1, 2023, Proceedings
DOI	wds:Q118894562-A650E33C-C873-4AED-AE53-0686BB1A0EDA
DOI	http://dx.doi.org/10.1007/978-3-031-33455-9_36
DOI	10.1007/978-3-031-33455-9_36
describes a project that uses	wds:Q118894562-46e0c243-480a-bba2-e508-340f0f648ddc wds:Q118894562-b8a244ac-4b4c-3bd6-6cb7-cc9dbe63b05c
describes a project that uses	Bidirectional Encoder Representations from Transformer SPARQL
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q118894562

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