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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; Ljubesic, Nikola; Ulcar, Matej; Vulic, Ivan; Pilehvar, Mohammad Taher. - : 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 Abstract: This paper presents the Graded Word Similarity in Context (GWSC) task which asked participants to predict the effects of context on human perception of similarity in English, Croatian, Slovene and Finnish. We received 15 submissions and 11 system description papers. A new dataset (CoSimLex) was created for evaluation in this task: it contains pairs of words, each annotated within two short text passages. Systems beat the baselines by significant margins, but few did well in more than one language or subtask. Almost every system employed a Transformer model, but with many variations in the details: WordNet sense embeddings, translation of contexts, TF-IDF weightings, and the automatic creation of datasets for fine-tuning were all used to good effect. URL: https://www.repository.cam.ac.uk/handle/1810/315096 https://doi.org/10.17863/CAM.62203 BASE Hide 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. - : Jožef Stefan Institute, 2019 BASE Show 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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