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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 Page: 1 2 3 4 5...7 Hits 1 – 20 of 123 1 AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive Summarization ... Eddine, Moussa Kamal; Tomeh, Nadi; Habash, Nizar. - : arXiv, 2022 BASE Show details 2 NADI 2021: The Second Nuanced Arabic Dialect Identification Shared Task ... Abdul-Mageed, Muhammad; Zhang, Chiyu; Elmadany, AbdelRahim. - : arXiv, 2021 BASE Show details 3 The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models ... Inoue, Go; Alhafni, Bashar; Baimukan, Nurpeiis. - : arXiv, 2021 BASE Show details 4 Universal Dependencies 2.9 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 5 Universal Dependencies 2.8.1 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 6 Universal Dependencies 2.8 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 7 Language Models in Sociological Research: An Application to Classifying Large Administrative Data and Measuring Religiosity ... Jensen, Jeffrey L.; Karell, Daniel; Tanigawa-Lau, Cole; Habash, Nizar; Oudah, Mai; Fairus Shofia Fani, Dhia. - : SAGE Journals, 2021 Abstract: Computational methods have become widespread in the social sciences, but probabilistic language models remain relatively underused. We introduce language models to a general social science readership. First, we offer an accessible explanation of language models, detailing how they estimate the probability of a piece of language, such as a word or sentence, on the basis of the linguistic context. Second, we apply language models in an illustrative analysis to demonstrate the mechanics of using these models in social science research. The example application uses language models to classify names in a large administrative database; the classifications are then used to measure a sociologically important phenomenon: the spatial variation of religiosity. This application highlights several advantages of language models, including their effectiveness in classifying text that contains variation around the base structures, as is often the case with localized naming conventions and dialects. We conclude by discussing ... Keyword: 160807 Sociological Methodology and Research Methods; FOS Sociology; Sociology URL: https://sage.figshare.com/collections/Language_Models_in_Sociological_Research_An_Application_to_Classifying_Large_Administrative_Data_and_Measuring_Religiosity/5677891/1 https://dx.doi.org/10.25384/sage.c.5677891.v1 BASE Hide details 8 Language Models in Sociological Research: An Application to Classifying Large Administrative Data and Measuring Religiosity ... Jensen, Jeffrey L.; Karell, Daniel; Tanigawa-Lau, Cole. - : SAGE Journals, 2021 BASE Show details 9 Morphosyntactic Tagging with Pre-trained Language Models for Arabic and its Dialects ... Inoue, Go; Khalifa, Salam; Habash, Nizar. - : arXiv, 2021 BASE Show details 10 Automatic Error Type Annotation for Arabic ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Belkebir, Riadh; Habash, Nizar. - : Underline Science Inc., 2021 BASE Show details 11 Multitask Easy-First Dependency Parsing: Exploiting Complementarities of Different Dependency Representations Kankanampati, Yash; Le Roux, Joseph; Tomeh, Nadi... In: Proceedings of the 28th International Conference on Computational Linguistics ; 28th International Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03168039 ; 28th International Conference on Computational Linguistics, Dec 2020, Barcelona (on line), Spain. ⟨10.18653/v1/2020.coling-main.225⟩ (2020) BASE Show details 12 NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task ... Abdul-Mageed, Muhammad; Zhang, Chiyu; Bouamor, Houda. - : arXiv, 2020 BASE Show details 13 Universal Dependencies 2.7 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 14 Universal Dependencies 2.6 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 15 A Panoramic Survey of Natural Language Processing in the Arab World ... Darwish, Kareem; Habash, Nizar; Abbas, Mourad. - : arXiv, 2020 BASE Show details 16 The Paradigm Discovery Problem ... Erdmann, Alexander; Elsner, Micha; Wu, Shijie. - : ETH Zurich, 2020 BASE Show details 17 NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task ... The 28th International Conference on Computational Linguistics 2020; Abdul-Mageed, Muhammad; Bouamor, Houda. - : Underline Science Inc., 2020 BASE Show details 18 An Online Readability Leveled Arabic Thesaurus ... The 28th International Conference on Computational Linguistics 2020; Al Khalil, Muhamed; Habash, Nizar. - : Underline Science Inc., 2020 BASE Show details 19 Gender-Aware Reinflectionusing Linguistically Enhanced Neural Models ... The 28th International Conference on Computational Linguistics 2020; Alhafni, Bashar; Bouamor, Houda. - : Underline Science Inc., 2020 BASE Show details 20 The Paradigm Discovery Problem Wu, Shijie; Habash, Nizar; Elsner, Micha... In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020) BASE Show details Page: 1 2 3 4 5...7

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