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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 – 7 of 7 1 Slav-NER: the 3rd Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic languages ... Piskorski, Jakub; Babych, Bogdan; Kancheva, Zara. - : Zenodo, 2021 BASE Show details 2 Slav-NER: the 3rd Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic languages ... Piskorski, Jakub; Babych, Bogdan; Kancheva, Zara. - : Zenodo, 2021 BASE Show details 3 Are the Multilingual Models Better? Improving Czech Sentiment with Transformers ... Přibáň, Pavel; Steinberger, Josef. - : arXiv, 2021 Abstract: In this paper, we aim at improving Czech sentiment with transformer-based models and their multilingual versions. More concretely, we study the task of polarity detection for the Czech language on three sentiment polarity datasets. We fine-tune and perform experiments with five multilingual and three monolingual models. We compare the monolingual and multilingual models' performance, including comparison with the older approach based on recurrent neural networks. Furthermore, we test the multilingual models and their ability to transfer knowledge from English to Czech (and vice versa) with zero-shot cross-lingual classification. Our experiments show that the huge multilingual models can overcome the performance of the monolingual models. They are also able to detect polarity in another language without any training data, with performance not worse than 4.4 % compared to state-of-the-art monolingual trained models. Moreover, we achieved new state-of-the-art results on all three datasets. ... : Accepted to RANLP 2021, github: https://github.com/pauli31/improving-czech-sentiment-transformers ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2108.10640 https://dx.doi.org/10.48550/arxiv.2108.10640 BASE Hide details 4 Restaurant Reviews CZ ABSA corpus v2 Hercig, Tomáš; Brychcín, Tomáš; Svoboda, Lukáš. - : University of West Bohemia, Department of Computer Science and Engineering, 2016 BASE Show details 5 MultiLing 2015: Multilingual Summarization of Single and Multi-Documents, On-line Fora, and Call-center Conversations Giannakopoulos, George; Kubina, Jeff; Conroy, John... In: Sigdial ; https://hal-amu.archives-ouvertes.fr/hal-01194230 ; Sigdial, 2015, Unknown, Unknown Region (2015) BASE Show details 6 Using Brain Data for Sentiment Analysis. Gu, Yuqiao; Celli, Fabio; Steinberger, Josef. - 2014 BASE Show details 7 Facebook Data for Sentiment Analysis Habernal, Ivan; Ptáček, Tomáš; Steinberger, Josef. - : University of West Bohemia, 2013 BASE Show details

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