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1
EMAKG: an enriched version of the Microsoft Academic Knowledge Graph ...
Pollacci, Laura. - : Zenodo, 2022
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EMAKG: an enriched version of the Microsoft Academic Knowledge Graph ...
Pollacci, Laura. - : Zenodo, 2022
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3
Data for Cyrillic Reference Parsing ...
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4
Future of Scholarly Communication . Forging an inclusive and innovative research infrastructure for scholarly communication in Social Sciences and Humanities ...
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5
Data for Training and Evaluating Metadata Extraction Models based on 15 Thousand Cyrillic Script Publications ...
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6
Future of Scholarly Communication . Forging an inclusive and innovative research infrastructure for scholarly communication in Social Sciences and Humanities ...
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7
Data for Training and Evaluating Metadata Extraction Models based on 15 Thousand Cyrillic Script Publications ...
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8
Data for Cyrillic Reference Parsing ...
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9
Approaches to Collaborative Multilingual Thesauri Development in Educational Context ...
Zlodi, Goran; Ivanjko, Tomislav. - : Zenodo, 2020
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10
Approaches to Collaborative Multilingual Thesauri Development in Educational Context ...
Zlodi, Goran; Ivanjko, Tomislav. - : Zenodo, 2020
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11
From Wikidata to Scholia: Creating Structured-Linked Data to Generate Scholarly Profiles
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12
A certification model for digital scholarly editions ; A certification model for digital scholarly editions: Towards peer review-based data journals in the humanities
In: Digital Scholarly Editing: Theory, Practice, Methods ; https://halshs.archives-ouvertes.fr/halshs-01392880 ; Digital Scholarly Editing: Theory, Practice, Methods, Université d'Anvers, Oct 2016, Anvers, Belgium ; http://uahost.uantwerpen.be/estsdixit2016/ (2016)
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13
NLP Driven Models for Automatically Generating Survey Articles for Scientific Topics.
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14
Brief of Digital Humanities And Law Scholars as Amici Curiae In Support Of Defendant-Appellees And Affirmance, (The Authors Guild, Inc., et al., v. Google, Inc., et al.)
In: Copyright, Fair Use, Scholarly Communication, etc. (2014)
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15
Segment confidence-based binary segmentation (SCBS) for cursive handwritten words
In: Verma, B & Lee, H 2011, 'Segment confidence-based binary segmentation (SCBS) for cursive handwritten words', Expert Systems with Applications, vol. 38, no. 9, pp.11167-11175, http://dx.doi.org/10.1016/j.eswa.2011.02.162 (2011)
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