| Nome |
# |
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A dataset for evaluating legal question answering on private international law, file e1dcb338-36dc-7715-e053-1705fe0a6cc9
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763
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Akoma Ntoso: Flexibility and Customization to Meet Different Legal Traditions, file e1dcb333-5f55-7715-e053-1705fe0a6cc9
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514
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The difference between Explainable and Explaining: requirements and challenges under the GDPR, file e1dcb335-a2be-7715-e053-1705fe0a6cc9
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444
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Research Articles in Simplified HTML: A Web-first format for HTML-based scholarly articles, file e1dcb335-4f5b-7715-e053-1705fe0a6cc9
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235
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Legal Knowledge Extraction for Knowledge Graph Based Question-Answering, file e1dcb336-1cbb-7715-e053-1705fe0a6cc9
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152
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Hybrid AI Framework for Legal Analysis of the EU Legislation Corrigenda, file e1dcb338-2de1-7715-e053-1705fe0a6cc9
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149
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Metrics, Explainability and the European AI Act Proposal, file e1dcb339-3eee-7715-e053-1705fe0a6cc9
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105
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Making Things Explainable vs Explaining: Requirements and Challenges Under the GDPR, file 37c65713-dea3-4c3f-9188-372909d0d3ae
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102
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A Framework to Support Digital Humanities and Cultural Heritage Studies Research, file 6414e46c-4e11-466c-b081-c6cb3a9e58e4
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97
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Measuring the quality of diff algorithms: A formalization, file e1dcb338-331f-7715-e053-1705fe0a6cc9
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89
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How to Quantify the Degree of Explainability: Experiments and Practical Implications, file dc979d73-acce-4b58-8dc0-dedbe583639f
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87
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The Intelligible Contract, file e1dcb335-bd18-7715-e053-1705fe0a6cc9
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85
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Deep learning based multi-label text classification of UNGA resolutions, file e1dcb336-175c-7715-e053-1705fe0a6cc9
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84
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Bridging the gap between tracking and detecting changes in XML, file e1dcb338-468d-7715-e053-1705fe0a6cc9
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79
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A Survey on Methods and Metrics for the Assessment of Explainability Under the Proposed AI Act, file e1dcb338-530e-7715-e053-1705fe0a6cc9
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75
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Semantic Web for the Legal Domain: The'next step, file e1dcb338-2600-7715-e053-1705fe0a6cc9
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69
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The Publishing Workflow Ontology (PWO), file e1dcb339-fab5-7715-e053-1705fe0a6cc9
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59
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Modelling GDPR-Compliant Explanations for Trustworthy AI, file e1dcb335-d77c-7715-e053-1705fe0a6cc9
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44
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The Document Components Ontology (DoCO), file e1dcb32e-339d-7715-e053-1705fe0a6cc9
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36
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Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data, file 14ed5c58-eb50-44d2-804a-a72638a0e4c8
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31
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Combining shallow and deep learning approaches against data scarcity in legal domains, file 8af22f30-d839-4cd0-b439-49725e598fd1
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29
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Supporting Complexity and Conjectures in Cultural Heritage Descriptions, file e1dcb337-ab81-7715-e053-1705fe0a6cc9
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27
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Modeling data complexity in public history and cultural heritage, file 18f1b073-4e20-42bb-9e59-e558b7316f5b
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23
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The Publishing Workflow Ontology (PWO), file e1dcb334-552a-7715-e053-1705fe0a6cc9
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18
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Expressing Without Asserting in the Arts, file 20934a2c-7285-40c7-a54f-8410e665bcfe
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16
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The Publishing Workflow Ontology (PWO), file e1dcb336-4ba1-7715-e053-1705fe0a6cc9
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15
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Experiences from declarative markup to improve the accessibility of HTML, file 169ffe1d-ea5a-44d8-b2ac-395c0107b2aa
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14
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Semantic lenses as exploration method for scholarly article, file e1dcb32c-1ce8-7715-e053-1705fe0a6cc9
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10
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Overlapproaches in documents: A definitive classification (in OWL, 2!), file e1dcb32e-30ab-7715-e053-1705fe0a6cc9
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10
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The advantages of gamification for collecting linguistic data: A case study using Word Ladders, file ee7cb0c8-0cb0-4640-bde6-0c2f2efe0937
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9
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A methodology for enhancing the accessibility of scientific museum’s collections, file 6882466c-3e3e-42a6-8189-a3d3347a3d8b
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8
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The aggregation of heterogeneous metadata in Web-based cultural heritage collections. A case study, file e1dcb32c-1ce3-7715-e053-1705fe0a6cc9
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8
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A Legal Document Ontology: The Missing Layer in Legal
Document Modelling, file e1dcb32b-b856-7715-e053-1705fe0a6cc9
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7
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Reflecting on the Europeana Data Model, file e1dcb32c-3280-7715-e053-1705fe0a6cc9
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7
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DIY eBooks: collaborative publishing made easy, file e1dcb32c-04dc-7715-e053-1705fe0a6cc9
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6
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From Philosophy to Interfaces: an Explanatory Method and a Tool Inspired by Achinstein’s Theory of Explanation, file e1dcb337-69f7-7715-e053-1705fe0a6cc9
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6
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OWiki: enabling an ontology-led creation of semantic data, file e1dcb32c-228c-7715-e053-1705fe0a6cc9
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5
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Collaborative annotations in shared environments, file e1dcb32c-4cc4-7715-e053-1705fe0a6cc9
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5
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A dataset for evaluating legal question answering on private international law, file e1dcb337-f7d8-7715-e053-1705fe0a6cc9
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5
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null, file e1dcb330-8afb-7715-e053-1705fe0a6cc9
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4
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Deep learning based multi-label text classification of UNGA resolutions, file e1dcb336-175e-7715-e053-1705fe0a6cc9
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4
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A Framework to Support Digital Humanities and Cultural Heritage Studies Research, file e1dcb338-d34c-7715-e053-1705fe0a6cc9
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4
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Modelling GDPR-Compliant Explanations for Trustworthy AI, file e1dcb335-b80f-7715-e053-1705fe0a6cc9
|
3
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Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to Interfaces, file 30b8e3f3-bd4b-44da-a56e-9c6c00fc6792
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2
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Zeri Photo Archive RDF Dataset, file e1dcb32e-83ef-7715-e053-1705fe0a6cc9
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2
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Exploiting coordinated views for scholarly reading and analysis, file e1dcb334-7f0e-7715-e053-1705fe0a6cc9
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2
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An objective metric for Explainable AI: How and why to estimate the degree of explainability, file 35153ffd-db10-4146-bc59-7ed84ca58c4a
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1
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Annotating texts with ontologies, from geography to persons and events, file e1dcb32c-5733-7715-e053-1705fe0a6cc9
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1
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Annotating texts with ontologies, from geography to persons and events, file e1dcb32c-5734-7715-e053-1705fe0a6cc9
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1
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Tools for the automatic generation of ontology documentation: A task-based evaluation, file e1dcb32e-386b-7715-e053-1705fe0a6cc9
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1
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It ROCS! The RASH Online Conversion Service, file e1dcb32e-db20-7715-e053-1705fe0a6cc9
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1
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Content Cloaking: Preserving Privacy with Google Docs and other Web Applications, file e1dcb330-f85e-7715-e053-1705fe0a6cc9
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1
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From Philosophy to Interfaces: an Explanatory Method and a Tool Inspired by Achinstein’s Theory of Explanation, file f78e5067-5512-4059-86d1-ead819d4447c
|
1
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How to Quantify the Degree of Explainability: Experiments and Practical Implications, file fb4eb6ee-c86b-48bf-b46f-ef30c7581c6d
|
1
|
| Totale |
3.556 |