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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 – 13 of 13 1 EMBEDDIA tools output example corpus of Estonian, Croatian and Latvian news articles 1.0 Freienthal, Linda; Pelicon, Andraž; Martinc, Matej. - : Ekspress Meedia Group, 2022. : Styria Media Group, 2022 BASE Show details 2 Ekspress news article archive (in Estonian and Russian) 1.0 Purver, Matthew; Pollak, Senja; Freienthal, Linda. - : Ekspress Meedia Group, 2021 BASE Show details 3 Latvian user comment dataset 1.0 Shekhar, Ravi; Purver, Matthew; Pollak, Senja. - : Ekspress Meedia Group, 2021 BASE Show details 4 24sata news comment dataset 1.0 Shekhar, Ravi; Pranjic, Marko; Pollak, Senja. - : Styria Media Group, 2021 BASE Show details 5 24sata news article archive 1.0 Purver, Matthew; Shekhar, Ravi; Pranjić, Marko. - : Styria Media Group, 2021 BASE Show details 6 Latvian Delfi article archive (in Latvian and Russian) 1.0 Pollak, Senja; Purver, Matthew; Shekhar, Ravi. - : Ekspress Meedia Group, 2021 BASE Show details 7 Evaluation of contextual embeddings on less-resourced languages ... Ulčar, Matej; Žagar, Aleš; Armendariz, Carlos S.. - : arXiv, 2021 BASE Show details 8 Investigating cross-lingual training for offensive language detection Pelicon, Andraž; Shekhar, Ravi; Škrlj, Blaž... In: PeerJ Comput Sci (2021) BASE Show details 9 SemEval-2020 Task 3: Graded Word Similarity in Context ... The 28th International Conference on Computational Linguistics 2020; Armendariz, Carlos; Ljubešić, Nikola. - : Underline Science Inc., 2020 BASE Show details 10 SemEval-2020 Task 3: Graded Word Similarity in Context Santos Armendariz, Carlos; Purver, Matthew; Pollak, Senja. - : International Committee for Computational Linguistics, 2020. : https://www.aclweb.org/anthology/2020.semeval-1.3, 2020. : Proceedings of the 14th International Workshop on Semantic Evaluation (SemEval 2020), 2020 BASE Show details 11 Gender, language, and society: word embeddings as a reflection of social inequalities in linguistic corpora ... Supej, Anka; Plahuta, Marko; Purver, Matthew; Mathioudakis, Michael; Pollak, Senja. - : Zenodo, 2019 Abstract: Research on language and gender has a long tradition, and large electronic text corpora and novel computational methods for representing word meaning have recently opened new directions. We explain how gender can be analysed using word embeddings: vector representations of words computationally derived from lexical context in large corpora and capturing a degree of semantics. Being derived from naturally-occurring text, these also capture human biases, stereotypes and reflect social inequalities. The relation between the English words man and programmer can correspond to that between woman and homemaker. In Slovene, the availability of male and female forms for many words for occupations means that such effects might be reduced; however, we study a range of such relations and show that some gender bias still persists (e.g. the relation between words woman and secretary is very similar to that between man and boss). ... Keyword: gender bias; language and society; natural language processing; occupations; word embeddings URL: https://zenodo.org/record/3894466 https://dx.doi.org/10.5281/zenodo.3894466 BASE Hide details 12 Gender, language, and society: word embeddings as a reflection of social inequalities in linguistic corpora ... Supej, Anka; Plahuta, Marko; Purver, Matthew. - : Zenodo, 2019 BASE Show details 13 A deep learning approach to self-expansion of abbreviations based on morphology and context distance Chopard, Daphne; Spasic, Irena. - : Springer, 2019 BASE Show details

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