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SIMPLE-LOD
Del Gratta, Riccardo; Frontini, Francesca; Khan, Anas Fahad. - : Istituto di Linguistica Computazionale “A. Zampolli” - Consiglio Nazionale delle Ricerche (ILC-CNR), 2021
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D3.9 Report on Ontology and Vocabulary Collection and Publication ...
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D3.9 Report on Ontology and Vocabulary Collection and Publication ...
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MS8 Choice of Vocabulary Publication platform for SSHOC ...
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MS8 Choice of Vocabulary Publication platform for SSHOC ...
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The CIRCSE Collection of Linguistic Resources in CLARIN-IT
Passarotti, Marco (orcid:0000-0002-9806-7187); Sprugnoli, Rachele (orcid:0000-0001-6861-5595). - : NA, 2021. : country:ESP, 2021. : place:Madrid, 2021
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A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment
Krek, Simon; Lonke, Dorielle; Ahmad, Raya Abu. - : European Language Resources Association (ELRA), 2020
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A multilingual evaluation dataset for monolingual word sense alignment
Nimb, Sanni; Gabrovsek, Dejan; Schoonheim, Tanneke. - : National University of Ireland Galway, 2020
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TRIPLE Deliverable: D1.3 Data Management Plan DRAFT ...
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Social Sciences and Humanities Pathway Towards the European Open Science Cloud ...
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TRIPLE Deliverable: D1.3 Data Management Plan DRAFT ...
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Social Sciences and Humanities Pathway Towards the European Open Science Cloud ...
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TRIPLE Deliverable: D1.3 Data Management Plan DRAFT ...
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A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment ...
Abstract: Aligning senses across resources and languages is a challenging task with beneficial applications in the field of natural language processing and electronic lexicography. In this paper, we describe our efforts in manually aligning monolingual dictionaries. The alignment is carried out at sense-level for various resources in 15 languages. Moreover, senses are annotated with possible semantic relationships such as broadness, narrowness, relatedness, and equivalence. In comparison to previous datasets for this task, this dataset covers a wide range of languages and resources and focuses on the more challenging task of linking general-purpose language. We believe that our data will pave the way for further advances in alignment and evaluation of word senses by creating new solutions, particularly those notoriously requiring data such as neural networks. Our resources are publicly available at https://github.com/elexis-eu/MWSA. ...
URL: https://dx.doi.org/10.5281/zenodo.3842646
https://zenodo.org/record/3842646
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A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment ...
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16
The ELEXIS interface for interoperable lexical resources
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17
Converting and Structuring a Digital Historical Dictionary of Italian: A Case Study ...
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18
Enhancing Lexicography by Means of the Linked Data Paradigm: LexOfor CLARIN ...
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19
The ELEXIS Interface for Interoperable Lexical Resources ...
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20
Converting and Structuring a Digital Historical Dictionary of Italian: A Case Study ...
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