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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 – 2 of 2 1 Universal Dependencies-based PoS Tagging Refinement through Linguistic Resources ... Brazilian Conference on Intelligent Systems 2021; Duran, Magali; Lopes, Lucelene; Pardo, Thiago. - : Underline Science Inc., 2021 Abstract: This paper presents a technique that employs linguistic resources to refine PoS tagging using the Universal Dependencies (UD) model. The technique is based on the development and use of lists of non-ambiguous single tokens and non-ambiguous co-occuring tokens in Portuguese (regardless of whether they constitute multiword expressions or not). These lists are meant to automatilly correct the tags for such tokens after tagging. The technique is applied over the output of two well-known state of the art systems - UDPipe and UDify - and the results for a real data set have shown a significant improvement of annotation accuracy. Overall, we improve tagging accuracy by up to 1.4%, and, in terms of the number of fully correct tagged sentences, our technique produces results that are 13.9% more accurate than the corresponding original system. ... URL: https://underline.io/lecture/41485-universal-dependencies-based-pos-tagging-refinement-through-linguistic-resources https://dx.doi.org/10.48448/6egc-dp10 BASE Hide details 2 PorTinari - a Large Multi-genre Treebank for Brazilian Portuguese ... Brazilian Conference on Intelligent Systems 2021; Di-Felippo, Ariani; Duran, Magali. - : Underline Science Inc., 2021 BASE Show details

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