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Automatic translation and multilingual cultural heritage retrieval: a case study with transcriptions in Europeana (report) ...
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Distributed representations for multilingual language processing ...
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Automatic translation and multilingual cultural heritage retrieval: a case study with transcriptions in Europeana (poster) ...
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Automatic translation and multilingual cultural heritage retrieval: a case study with transcriptions in Europeana (dataset) ...
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Automatic translation and multilingual cultural heritage retrieval: a case study with transcriptions in Europeana (poster) ...
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Automatic translation and multilingual cultural heritage retrieval: a case study with transcriptions in Europeana (dataset) ...
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Automatic translation and multilingual cultural heritage retrieval: a case study with transcriptions in Europeana (report) ...
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How Agricultural Digital Innovation Can Benefit from Semantics: The Case of the AGROVOC Multilingual Thesaurus
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In: Engineering Proceedings ; Volume 9 ; Issue 1 (2021)
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SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation (MCL-WiC) ...
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SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation (MCL-WiC) ...
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Abstract:
SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation (MCL-WiC) Task Description Multilingual and Cross-lingual Word-in-Context Disambiguation (MCL-WiC) is the first SemEval task for Word-in-Context disambiguation which tackles the challenge of capturing the polysemous nature of words without relying on a fixed sense inventory in a multilingual and cross-lingual setting. MCL-WiC provides a single high-quality framework for the performance evaluation of a wide range of approaches aimed at evaluating the capability of a system to deeply understand word meaning . Compared to other datasets, MCL-WiC brings the following novelties: it addresses multilinguality and cross-linguality, it provides coverage of all parts of speech , and it covers a high number of domains and genres . Participating systems will be asked to perform a binary classification task in which they indicate whether the target word is used in the same meaning (tagged as T for true) or in a different meaning (F for ...
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Keyword:
SemEval-2021, Word in Context, Word Sense Disambiguation, Machine Learning, Multilinguality; strategies, tools, standards for lexicographic resources objective 3; WP3
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URL: https://zenodo.org/record/5144514 https://dx.doi.org/10.5281/zenodo.5144514
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Sustaining Multilinguality: Case Studies of Two Multilingual Digital Libraries
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Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity
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In: ISSN: 0891-2017 ; EISSN: 1530-9312 ; Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02975786 ; Computational Linguistics, Massachusetts Institute of Technology Press (MIT Press), 2020, 46 (4), pp.847-897 ; https://direct.mit.edu/coli/article/46/4/847/97326/Multi-SimLex-A-Large-Scale-Evaluation-of (2020)
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Multilinguale Herausforderungen in der Sacherschließung ...
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Forschungsdokumentation zur Studie "Multilinguale Herausforderungen in der Sacherschließung - ein Retrievaltest an einem mehrsprachigen Bibliotheksbestand" ...
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Forschungsdokumentation zur Studie "Multilinguale Herausforderungen in der Sacherschließung - ein Retrievaltest an einem mehrsprachigen Bibliotheksbestand"
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UniMorph 3.0: Universal Morphology
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In: Proceedings of the 12th Language Resources and Evaluation Conference (2020)
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