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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 Page: 1 2 3 4 5 6 7 8 9 10 Hits 81 – 100 of 191 81 English-Slovene term candidates KAS-biterm 1.0 Erjavec, Tomaž; Ljubešić, Nikola; Fišer, Darja. - : Jožef Stefan Institute, 2020 BASE Show details 82 The CLASSLA-StanfordNLP model for lemmatisation of non-standard Croatian 1.1 Ljubešić, Nikola; Štefanec, Vanja. - : Jožef Stefan Institute, 2020 BASE Show details 83 The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Slovenian 1.1 Ljubešić, Nikola. - : Jožef Stefan Institute, 2020 BASE Show details 84 SemEval-2020 Task 3: Graded Word Similarity in Context ... The 28th International Conference on Computational Linguistics 2020; Armendariz, Carlos; Ljubešić, Nikola. - : Underline Science Inc., 2020 BASE Show details 85 SemEval-2020 Task 3: Graded Word Similarity in Context Santos Armendariz, Carlos; Purver, Matthew; Pollak, Senja. - : International Committee for Computational Linguistics, 2020. : https://www.aclweb.org/anthology/2020.semeval-1.3, 2020. : Proceedings of the 14th International Workshop on Semantic Evaluation (SemEval 2020), 2020 BASE Show details 86 XML-Encoding of a spoken Serbian corpus targeting forms of address Lemmenmeier-Batinić, Dolores; Ljubešić, Nikola; Samardžić, Tanja In: Lemmenmeier-Batinić, Dolores; Ljubešić, Nikola; Samardžić, Tanja (2020). XML-Encoding of a spoken Serbian corpus targeting forms of address. In: Conference on Language Technologies & Digital Humanities, Ljubljana, 24 September 2020 - 25 September 2020, 127-130. (2020) BASE Show details 87 The Image of the Monolingual Dictionary Across Europe. Results of the European Survey of Dictionary use and Culture Kosem, Iztok; Lew, Robert; Müller-Spitzer, Carolin... In: ISSN: 0950-3846 ; EISSN: 1477-4577 ; International Journal of Lexicography ; https://hal.archives-ouvertes.fr/hal-03512668 ; International Journal of Lexicography, Oxford University Press (OUP), 2019 (2019) BASE Show details 88 Universal Dependencies 2.5 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019 BASE Show details 89 Universal Dependencies 2.4 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2019 BASE Show details 90 Corpus of academic Slovene KAS 1.0 Erjavec, Tomaž; Fišer, Darja; Ljubešić, Nikola. - : Jožef Stefan Institute, 2019. : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2019 BASE Show details 91 Inflectional lexicon hrLex 1.3 Ljubešić, Nikola. - : Jožef Stefan Institute, 2019 BASE Show details 92 The CLASSLA-StanfordNLP model for UD dependency parsing of standard Croatian Ljubešić, Nikola. - : Jožef Stefan Institute, 2019 BASE Show details 93 The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Slovenian Ljubešić, Nikola. - : Jožef Stefan Institute, 2019 BASE Show details 94 The CLASSLA-StanfordNLP model for lemmatisation of standard Serbian Ljubešić, Nikola. - : Jožef Stefan Institute, 2019 BASE Show details 95 Slovenian parliamentary corpus ParlaMeter-sl 1.0 Dobranić, Filip; Ljubešić, Nikola; Erjavec, Tomaž. - : Jožef Stefan Institute, 2019 BASE Show details 96 Croatian Twitter training corpus ReLDI-NormTagNER-hr 2.1 Ljubešić, Nikola; Erjavec, Tomaž; Batanović, Vuk. - : Jožef Stefan Institute, 2019 BASE Show details 97 CMC training corpus Janes-Tag 2.1 Erjavec, Tomaž; Fišer, Darja; Čibej, Jaka; Arhar Holdt, Špela; Ljubešić, Nikola; Zupan, Katja; Dobrovoljc, Kaja. - : Jožef Stefan Institute, 2019 Abstract: Janes-Tag is a manually annotated corpus of Slovene Computer-Mediated Communication (CMC). It is meant as a gold-standard training and testing dataset for tokenisation, sentence segmentation, word normalisation, morphosyntactic tagging, lemmatisation and named entity annotation of non-standard Slovene. As the corpus has been carefully manually annotated, it is also suitable for detailed linguistic explorations which require highly accurate and reliable annotations. As an update to version 2.0, this version corrects some minor errors in NER annotation and introduces, in addition to MULTEXT-East morphosyntactic descriptions, also Universal Dependencies morphological features and the corpus in CoNLL-U format. The UD features are also included in the vert file. The first version of this corpus is described in: ERJAVEC, Tomaž, ČIBEJ, Jaka, ARHAR HOLDT, Špela, LJUBEŠIĆ, Nikola, FIŠER, Darja. 2016. Gold-standard datasets for annotation of Slovene computer-mediated communication. In Proceedings of RASLAN 2016: Recent Advances in Slavonic Natural Language Processing. Brno: Tribun EU, 2016, pp. 29-40, https://nlp.fi.muni.cz/raslan/raslan16.pdf FIŠER, Darja, LJUBEŠIĆ, Nikola, ERJAVEC, Tomaž. 2018. The Janes project: language resources and tools for Slovene user generated content. Language Resources & Evaluation. https://rdcu.be/7RX4 Note that a related corpus, Janes-Norm is also available, cf. http://hdl.handle.net/11356/1084. Keyword: computer-mediated communication; lemmatisation; manual annotation; named entities; part-of-speech tagging; TEI; tokenisation; word normalisation URL: http://hdl.handle.net/11356/1238 BASE Hide details 98 Corpus of Academic Slovene (PhD theses) KAS-dr 1.0 Erjavec, Tomaž; Fišer, Darja; Ljubešić, Nikola. - : Jožef Stefan Institute, 2019. : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2019 BASE Show details 99 Collocations Dictionary of Modern Slovene KSSS 1.0 Kosem, Iztok; Gantar, Polona; Krek, Simon. - : Centre for Language Resources and Technologies, University of Ljubljana, 2019 BASE Show details 100 Inflectional lexicon srLex 1.3 Ljubešić, Nikola. - : Jožef Stefan Institute, 2019 BASE Show details Page: 1 2 3 4 5 6 7 8 9 10

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