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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 Hits 1 – 20 of 52 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 Beyond the English Web: Zero-Shot Cross-Lingual and Lightweight Monolingual Classification of Registers ... Repo, Liina; Skantsi, Valtteri; Rönnqvist, Samuel. - : arXiv, 2021 BASE Show details 5 Deep learning for sentence clustering in essay grading support ... Chang, Li-Hsin; Rastas, Iiro; Pyysalo, Sampo. - : arXiv, 2021 BASE Show details 6 Universal Dependencies 2.7 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 7 Universal Dependencies 2.6 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 8 Towards Fully Bilingual Deep Language Modeling ... Chang, Li-Hsin; Pyysalo, Sampo; Kanerva, Jenna. - : arXiv, 2020 BASE Show details 9 The birth of Romanian BERT ... Dumitrescu, Stefan Daniel; Avram, Andrei-Marius; Pyysalo, Sampo. - : arXiv, 2020 BASE Show details 10 WikiBERT models: deep transfer learning for many languages ... Pyysalo, Sampo; Kanerva, Jenna; Virtanen, Antti. - : arXiv, 2020 BASE Show details 11 Exploring Cross-sentence Contexts for Named Entity Recognition with BERT ... The 28th International Conference on Computational Linguistics 2020; Luoma, Jouni; Pyysalo, Sampo. - : Underline Science Inc., 2020 BASE Show details 12 Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection ... Nivre, Joakim; de Marneffe, Marie-Catherine; Ginter, Filip. - : arXiv, 2020 BASE Show details 13 Dependency parsing of biomedical text with BERT Kanerva, Jenna; Ginter, Filip; Pyysalo, Sampo In: BMC Bioinformatics (2020) BASE Show details 14 Universal Dependencies 2.5 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019 BASE Show details 15 Universal Dependencies 2.4 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2019 BASE Show details 16 Multilingual is not enough: BERT for Finnish ... Virtanen, Antti; Kanerva, Jenna; Ilo, Rami. - : arXiv, 2019 BASE Show details 17 A neural classification method for supporting the creation of BioVerbNet ... Chiu, Billy; Majewska, Olga; Pyysalo, Sampo. - : Figshare, 2019 BASE Show details 18 A neural classification method for supporting the creation of BioVerbNet ... Chiu, Billy; Majewska, Olga; Pyysalo, Sampo. - : Figshare, 2019 BASE Show details 19 A neural classification method for supporting the creation of BioVerbNet ... Chiu, Billy; Majewska, Olga; Pyysalo, Sampo. - : Apollo - University of Cambridge Repository, 2019 BASE Show details 20 A Neural Classification Method for Supporting the Creation of BioVerbNet ... Chiu, Hon Wing; Majewska, Olga; Pyysalo, Sampo; Wey, Laura; Stenius, Ulla; Korhonen, Anna-Leena; Palmer, Martha. - : Apollo - University of Cambridge Repository, 2019 Abstract: Background: VerbNet, an extensive computational verb lexicon for English, has proved useful for supporting a wide range of Natural Language Processing tasks requiring information about the behaviour and meaning of verbs. Biomedical text processing and mining could benefit from a similar resource. We take the first step towards the development of BioVerbNet: A VerbNet specifically aimed at describing verbs in the area of biomedicine. Because VerbNet-style classification is extremely time consuming, we start from a small manual classification of biomedical verbs and apply a state-of-the-art neural representation model, specifically developed for class-based optimization, to expand the classification with new verbs, using all the PubMed abstracts and the full articles in the PubMed Central Open Access subset as data. Results: Direct evaluation of the resulting classification against BioSimVerb (verb similarity judgement data in biomedicine) shows promising results when representation learning is performed using ... : This work is supported by the Medical Research Council [grant number MR/M013049/1], the ERC Consolidator Grant LEXICAL [grant number 648909], the ESRC Doctoral Fellowship [grant number ES/J500033/1] and the Defense Advanced Research Projects Agency [DARPA 15-18-CwC-FP-032] ... Keyword: representation learning; verb lexicon URL: https://www.repository.cam.ac.uk/handle/1810/289364 https://dx.doi.org/10.17863/cam.36611 BASE Hide details Page: 1 2 3

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