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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; Ginter, Filip. - : arXiv, 2021 Abstract: Essays as a form of assessment test student knowledge on a deeper level than short answer and multiple-choice questions. However, the manual evaluation of essays is time- and labor-consuming. Automatic clustering of essays, or their fragments, prior to manual evaluation presents a possible solution to reducing the effort required in the evaluation process. Such clustering presents numerous challenges due to the variability and ambiguity of natural language. In this paper, we introduce two datasets of undergraduate student essays in Finnish, manually annotated for salient arguments on the sentence level. Using these datasets, we evaluate several deep-learning embedding methods for their suitability to sentence clustering in support of essay grading. We find that the choice of the most suitable method depends on the nature of the exam question and the answers, with deep-learning methods being capable of, but not guaranteeing better performance over simpler methods based on lexical overlap. ... : Accepted to EDM 2021 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2104.11556 https://arxiv.org/abs/2104.11556 BASE Hide 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. - : Apollo - University of Cambridge Repository, 2019 BASE Show details Page: 1 2 3

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