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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 14 of 14 1 Universal Dependencies 2.9 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 2 Universal Dependencies 2.8.1 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 3 Universal Dependencies 2.8 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 4 Romanian Named Entity Recognition in the Legal domain (LegalNERo) ... Păiș, Vasile; Mitrofan, Maria; Gasan, Carol Luca. - : Zenodo, 2021 BASE Show details 5 Romanian Named Entity Recognition in the Legal domain (LegalNERo) ... Păiș, Vasile; Mitrofan, Maria; Gasan, Carol Luca. - : Zenodo, 2021 BASE Show details 6 Romanian Named Entity Recognition in the Legal domain (LegalNERo) ... Păiș, Vasile; Mitrofan, Maria; Gasan, Carol Luca. - : Zenodo, 2021 BASE Show details 7 Romanian Named Entity Recognition in the Legal domain (LegalNERo) ... Păiș, Vasile; Mitrofan, Maria; Gasan, Carol Luca; Ianov, Alexandru; Ghiță, Corvin; Coneschi, Vlad Silviu; Onuț, Andrei. - : Zenodo, 2021 Abstract: LegalNERo is a manually annotated corpus for named entity recognition in the Romanian legal domain. It provides gold annotations for organizations, locations, persons, time and legal resources mentioned in legal documents. Additionally it offers GEONAMES codes for the named entities annotated as location (where a link could be established). The LegalNERo corpus is available in different formats: span-based, token-based and RDF. The Linguistic Linked Open Data (LLOD) version is provided in RDF-Turtle format. CONLLUP files conform to the CoNLL-U Plus format https://universaldependencies.org/ext-format.html . Part-of-speech tagging was realized using UDPIPE. Named entity annotations are placed in the column "RELATE:NE" (the 11th column) as defined in the "global.columns" metadata field. Similarly GEONAMES references are in the column "RELATE:GEONAMES" (the 12th column, last). Automatic processing was performed through the RELATE platform (https://relate.racai.ro). ANN files conform to BRAT format ... Keyword: conllup; legal domain; linguistic linked open data; manual annotations; named entity recognition; RDF; Romanian URL: https://zenodo.org/record/4922385 https://dx.doi.org/10.5281/zenodo.4922385 BASE Hide details 8 Workshop on Deep Learning and Neural Approaches for Linguistic Data - Book of abstracts ... Gromann, Dagmar; Wachowiak, Lennart; Lang, Christian. - : Zenodo, 2021 BASE Show details 9 Workshop on Deep Learning and Neural Approaches for Linguistic Data - Book of abstracts ... Gromann, Dagmar; Wachowiak, Lennart; Lang, Christian. - : Zenodo, 2021 BASE Show details 10 Universal Dependencies 2.7 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 11 Universal Dependencies 2.6 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 12 Little strokes fell great oaks. Creating CoRoLa, the reference corpus of contemporary Romanian Tufiș, Dan [Verfasser]; Barbu Mititelu, Verginica [Verfasser]; Irimia, Elena [Verfasser]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2019 DNB Subject Category Language Show details 13 Universal Dependencies 2.5 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019 BASE Show details 14 Little strokes fell great oaks. Creating CoRoLa, the reference corpus of contemporary Romanian [Online resource] Tufiș, Dan; Mititelu, Verginica Barbu; Irimia, Elena. IDS-Repository Show details

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