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CoNLL-based Extended Czech Named Entity Corpus 2.0
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Abstract:
This is a Czech Named Entity Corpus 2.0 transformed into the CoNLL format. The original corpus can be downloaded from: http://hdl.handle.net/11858/00-097C-0000-0023-1B22-8. The CoNLL transformation is described in this publication: https://link.springer.com/chapter/10.1007/978-3-642-40585-3_20.
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Keyword:
Czech; named entity recognition
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URL: http://hdl.handle.net/11234/1-3493
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7 |
NameTag 2
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Straková, Jana. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021
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8 |
RobeCzech: Czech RoBERTa, a monolingual contextualized language representation model ...
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9 |
Universal Dependencies 2.5 Models for UDPipe (2019-12-06)
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Straka, Milan; Straková, Jana. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2020
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12 |
Universal Dependencies 2.4 Models for UDPipe (2019-05-31)
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Straka, Milan; Straková, Jana. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2019
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13 |
UDPipe at SIGMORPHON 2019: Contextualized Embeddings, Regularization with Morphological Categories, Corpora Merging ...
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14 |
ÚFAL MRPipe at MRP 2019: UDPipe Goes Semantic in the Meaning Representation Parsing Shared Task ...
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15 |
Universal Dependencies 2.3 Models for UDPipe (2018-11-15)
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Straka, Milan; Straková, Jana. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2018
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16 |
Universal Dependencies 2.0 Models for UDPipe (2017-08-01)
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Straka, Milan; Straková, Jana. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2017
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18 |
Czech Models (MorfFlex CZ 160310 + PDT 3.0) for MorphoDiTa 160310
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Straka, Milan; Straková, Jana. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2016
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19 |
WordSim353-cs: Evaluation Dataset for Lexical Similarity and Relatedness, based on WordSim353
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