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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 – 14 of 14 1 Semantic changes in harm-related concepts in English ... Vylomova, Ekaterina; Haslam, Nick. - : Zenodo, 2021 BASE Show details 2 Semantic changes in harm-related concepts in English ... Vylomova, Ekaterina; Haslam, Nick. - : Zenodo, 2021 BASE Show details 3 More confident, less formal: stylistic changes in academic psychology writing from 1970 to 2016 Wheeler, Melissa A.; Vylomova, Ekaterina; McGrath, Melanie J.... In: Scientometrics, Vol. 126, no. 12 (Dec 2021), pp. 9603-9612 (2021) BASE Show details 4 SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ... Vylomova, Ekaterina; White, Jennifer; Salesky, Elizabeth. - : arXiv, 2020 BASE Show details 5 SIGTYP 2020 Shared Task: Prediction of Typological Features ... Bjerva, Johannes; Salesky, Elizabeth; Mielke, Sabrina J.. - : arXiv, 2020 BASE Show details 6 UniMorph 3.0: Universal Morphology Kirov, Christo; Nicolai, Garrett; Arkhangelskij, Timofey... In: Proceedings of the 12th Language Resources and Evaluation Conference (2020) BASE Show details 7 UniMorph 3.0: Universal Morphology ... McCarthy, Arya D.; Kirov, Christo; Grella, Matteo. - : ETH Zurich, 2020 BASE Show details 8 Harm inflation: Making sense of concept creep Weaving, Morgan; Wheeler, Melissa A.; Fabiano, Fabian... In: European Review of Social Psychology, Vol. 31, no. 1 (Jan 2020), pp. 254-286 (2020) BASE Show details 9 Contextualization of Morphological Inflection ... Vylomova, Ekaterina; Cotterell, Ryan; Baldwin, Timothy; Cohn, Trevor; Eisner, Jason. - : arXiv, 2019 Abstract: Critical to natural language generation is the production of correctly inflected text. In this paper, we isolate the task of predicting a fully inflected sentence from its partially lemmatized version. Unlike traditional morphological inflection or surface realization, our task input does not provide ``gold'' tags that specify what morphological features to realize on each lemmatized word; rather, such features must be inferred from sentential context. We develop a neural hybrid graphical model that explicitly reconstructs morphological features before predicting the inflected forms, and compare this to a system that directly predicts the inflected forms without relying on any morphological annotation. We experiment on several typologically diverse languages from the Universal Dependencies treebanks, showing the utility of incorporating linguistically-motivated latent variables into NLP models. ... : NAACL 2019 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/1905.01420 https://dx.doi.org/10.48550/arxiv.1905.01420 BASE Hide details 10 The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection ... McCarthy, Arya D.; Vylomova, Ekaterina; Wu, Shijie. - : arXiv, 2019 BASE Show details 11 Compositional morphology through deep learning Vylomova, Ekaterina. - 2018 BASE Show details 12 Context-Aware Prediction of Derivational Word-forms ... Vylomova, Ekaterina; Cotterell, Ryan; Baldwin, Timothy. - : arXiv, 2017 BASE Show details 13 Paradigm Completion for Derivational Morphology ... Cotterell, Ryan; Vylomova, Ekaterina; Khayrallah, Huda. - : arXiv, 2017 BASE Show details 14 Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning ... Vylomova, Ekaterina; Rimell, Laura; Cohn, Trevor. - : arXiv, 2015 BASE Show details

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