Works matching IS 1574020X AND DT 2024 AND VI 58 AND IP 1
Results: 12
Computational approaches to Portuguese: introduction to the special issue.
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- Language Resources & Evaluation, 2024, v. 58, n. 1, p. 1, doi. 10.1007/s10579-024-09729-9
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Syntactic annotation for Portuguese corpora: standards, parsers, and search interfaces.
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- Language Resources & Evaluation, 2024, v. 58, n. 1, p. 301, doi. 10.1007/s10579-023-09699-4
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NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguese.
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- Language Resources & Evaluation, 2024, v. 58, n. 1, p. 73, doi. 10.1007/s10579-023-09693-w
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Brazilian Portuguese corpora for teaching and translation: the CoMET project.
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- Language Resources & Evaluation, 2024, v. 58, n. 1, p. 347, doi. 10.1007/s10579-023-09690-z
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A survey and study impact of tweet sentiment analysis via transfer learning in low resource scenarios.
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- Language Resources & Evaluation, 2024, v. 58, n. 1, p. 133, doi. 10.1007/s10579-023-09687-8
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Assessing linguistic generalisation in language models: a dataset for Brazilian Portuguese.
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- Language Resources & Evaluation, 2024, v. 58, n. 1, p. 175, doi. 10.1007/s10579-023-09664-1
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Sentiment analysis in Portuguese tweets: an evaluation of diverse word representation models.
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- Language Resources & Evaluation, 2024, v. 58, n. 1, p. 223, doi. 10.1007/s10579-023-09661-4
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A study on methods for revising dependency treebanks: in search of gold.
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- Language Resources & Evaluation, 2024, v. 58, n. 1, p. 111, doi. 10.1007/s10579-023-09653-4
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Human-inspired computational models for European Portuguese: a review.
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- Language Resources & Evaluation, 2024, v. 58, n. 1, p. 43, doi. 10.1007/s10579-023-09648-1
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Evaluation of the Brazilian Portuguese version of linguistic inquiry and word count 2015 (BP-LIWC2015).
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- Language Resources & Evaluation, 2024, v. 58, n. 1, p. 203, doi. 10.1007/s10579-023-09647-2
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Automatic generation of creative text in Portuguese: an overview.
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- Language Resources & Evaluation, 2024, v. 58, n. 1, p. 7, doi. 10.1007/s10579-023-09646-3
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SetembroBR: a social media corpus for depression and anxiety disorder prediction.
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- Language Resources & Evaluation, 2024, v. 58, n. 1, p. 273, doi. 10.1007/s10579-022-09633-0
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- Article