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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 – 12 of 12 1 Universal Segmentations 1.0 (UniSegments 1.0) Žabokrtský, Zdeněk; Bafna, Nyati; Bodnár, Jan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2022 BASE Show details 2 DeriNet 2.1 Vidra, Jonáš; Žabokrtský, Zdeněk; Kyjánek, Lukáš. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021 BASE Show details 3 Universal Derivations v1.1 Kyjánek, Lukáš; Žabokrtský, Zdeněk; Vidra, Jonáš. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021 BASE Show details 4 Universal Derivations v1.0 Kyjánek, Lukáš; Žabokrtský, Zdeněk; Vidra, Jonáš. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2020 BASE Show details 5 DeriNet 2.0 Vidra, Jonáš; Žabokrtský, Zdeněk; Kyjánek, Lukáš. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2019 BASE Show details 6 Universal Derivations v0.5 Kyjánek, Lukáš; Žabokrtský, Zdeněk; Vidra, Jonáš. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2019 BASE Show details 7 Derivational Morphological Relations in Word Embeddings ... Musil, Tomáš; Vidra, Jonáš; Mareček, David. - : arXiv, 2019 Abstract: Derivation is a type of a word-formation process which creates new words from existing ones by adding, changing or deleting affixes. In this paper, we explore the potential of word embeddings to identify properties of word derivations in the morphologically rich Czech language. We extract derivational relations between pairs of words from DeriNet, a Czech lexical network, which organizes almost one million Czech lemmata into derivational trees. For each such pair, we compute the difference of the embeddings of the two words, and perform unsupervised clustering of the resulting vectors. Our results show that these clusters largely match manually annotated semantic categories of the derivational relations (e.g. the relation 'bake--baker' belongs to category 'actor', and a correct clustering puts it into the same cluster as 'govern--governor'). ... : 8 pages, accepted to BlackBox NLP workshop collocated with ACL 2019 in Florence ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/1906.02510 https://dx.doi.org/10.48550/arxiv.1906.02510 BASE Hide details 8 DeriNet 1.6 (2018-09-24) Vidra, Jonáš; Kyjánek, Lukáš; Ševčíková, Magda. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2018 BASE Show details 9 Morphological and Language-Agnostic Word Segmentation for NMT ... Macháček, Dominik; Vidra, Jonáš; Bojar, Ondřej. - : arXiv, 2018 BASE Show details 10 DeriNet 1.5 Vidra, Jonáš; Žabokrtský, Zdeněk; Ševčíková, Magda. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2017 BASE Show details 11 DeriNet 1.2 Vidra, Jonáš; Žabokrtský, Zdeněk; Ševčíková, Magda. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2016 BASE Show details 12 DeriNet 1.0 Vidra, Jonáš; Žabokrtský, Zdeněk; Ševčíková, Magda. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2015 BASE Show details

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