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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 – 4 of 4 1 Distant Supervision from Disparate Sources for Low-Resource Part-of-Speech Tagging ... Plank, Barbara; Agić, Željko. - : arXiv, 2018 BASE Show details 2 The Best of Both Worlds: Lexical Resources To Improve Low-Resource Part-of-Speech Tagging ... Plank, Barbara; Klerke, Sigrid; Agic, Zeljko. - : arXiv, 2018 BASE Show details 3 Baselines and test data for cross-lingual inference ... Agić, Željko; Schluter, Natalie. - : arXiv, 2017 BASE Show details 4 Parsing Universal Dependencies without training ... Alonso, Héctor Martínez; Agić, Željko; Plank, Barbara; Søgaard, Anders. - : arXiv, 2017 Abstract: We propose UDP, the first training-free parser for Universal Dependencies (UD). Our algorithm is based on PageRank and a small set of head attachment rules. It features two-step decoding to guarantee that function words are attached as leaf nodes. The parser requires no training, and it is competitive with a delexicalized transfer system. UDP offers a linguistically sound unsupervised alternative to cross-lingual parsing for UD, which can be used as a baseline for such systems. The parser has very few parameters and is distinctly robust to domain change across languages. ... : EACL 2017, 8+2 pages ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1701.03163 https://arxiv.org/abs/1701.03163 BASE Hide details

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