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1
Semantic changes in harm-related concepts in English ...
Vylomova, Ekaterina; Haslam, Nick. - : Zenodo, 2021
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Semantic changes in harm-related concepts in English ...
Vylomova, Ekaterina; Haslam, Nick. - : Zenodo, 2021
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3
More confident, less formal: stylistic changes in academic psychology writing from 1970 to 2016
In: Scientometrics, Vol. 126, no. 12 (Dec 2021), pp. 9603-9612 (2021)
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4
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ...
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5
SIGTYP 2020 Shared Task: Prediction of Typological Features ...
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6
UniMorph 3.0: Universal Morphology
In: Proceedings of the 12th Language Resources and Evaluation Conference (2020)
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UniMorph 3.0: Universal Morphology ...
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8
Harm inflation: Making sense of concept creep
In: European Review of Social Psychology, Vol. 31, no. 1 (Jan 2020), pp. 254-286 (2020)
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9
Contextualization of Morphological Inflection ...
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10
The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection ...
Abstract: The SIGMORPHON 2019 shared task on cross-lingual transfer and contextual analysis in morphology examined transfer learning of inflection between 100 language pairs, as well as contextual lemmatization and morphosyntactic description in 66 languages. The first task evolves past years' inflection tasks by examining transfer of morphological inflection knowledge from a high-resource language to a low-resource language. This year also presents a new second challenge on lemmatization and morphological feature analysis in context. All submissions featured a neural component and built on either this year's strong baselines or highly ranked systems from previous years' shared tasks. Every participating team improved in accuracy over the baselines for the inflection task (though not Levenshtein distance), and every team in the contextual analysis task improved on both state-of-the-art neural and non-neural baselines. ... : Presented at SIGMORPHON 2019 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/1910.11493
https://dx.doi.org/10.48550/arxiv.1910.11493
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11
Compositional morphology through deep learning
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12
Context-Aware Prediction of Derivational Word-forms ...
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13
Paradigm Completion for Derivational Morphology ...
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14
Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning ...
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