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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 6 7 8...60 Hits 61 – 80 of 1.194 61 Structural Arrangement of Simple Semantically Elementary Constructions ... Masytska, Tetiana; Vaseiko, Yulia. - : Zenodo, 2020 BASE Show details 62 On understanding character-level models for representing morphology ... Vania, Clara. - : The University of Edinburgh, 2020 BASE Show details 63 Word order preferences and the effect of phrasal length in SOV languages: evidence from sentence production in Persian Faghiri, Pegah; Samvelian, Pollet In: Glossa: a journal of general linguistics; Vol 5, No 1 (2020); 86 ; 2397-1835 (2020) BASE Show details 64 Automatic Pronoun Resolution for Swedish ; Automatisk pronomenbestämning på svenska Ahlenius, Camilla. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020 BASE Show details 65 Open Challenges on Generating Referring Expressions for Human-Robot Interaction Leite, Iolanda; Dogan, Fethiye Irmak. - : KTH, Robotik, perception och lärande, RPL, 2020 BASE Show details 66 Теорія залежностей у сучасному синтаксисі ; The theory of dependency in contemporary syntax ; Теория зависимостей в современном синтаксисе Масицька, Тетяна Євгенівна; Masytska, Tetiana Evgenivna. - 2020 BASE Show details 67 Dependency Treebanks of Ancient Greek Prose Gorman, Vanessa B. In: Journal of Open Humanities Data; Vol 6 (2020); 1 ; 2059-481X (2020) BASE Show details 68 LanguageStructure/TuDeT v0.1 ... Ferraz Gerardi, Fabrício; Reichert, Stanislav; Aragon, Carolina. - : Zenodo, 2020 BASE Show details 69 Linguatec Tolosa Treebank ... Miletic, Aleksandra; Bras, Myriam; Esher, Louise. - : Zenodo, 2020 BASE Show details 70 Linguatec Tolosa Treebank ... Miletic, Aleksandra; Bras, Myriam; Esher, Louise. - : Zenodo, 2020 BASE Show details 71 LanguageStructure/TuDeT v0.1 ... Ferraz Gerardi, Fabrício; Reichert, Stanislav; Aragon, Carolina. - : Zenodo, 2020 BASE Show details 72 Word order preferences and the effect of phrasal length in SOV languages: evidence from sentence production in Persian Faghiri, Pegah; Samvelian, Pollet In: Glossa: a journal of general linguistics (2016-2021) ; https://hal.archives-ouvertes.fr/hal-02559840 ; Glossa: a journal of general linguistics (2016-2021), Ubiquity Press, 2020, 5 (1), pp.86. ⟨10.5334/gjgl.1078⟩ (2020) BASE Show details 73 Demographic-Aware Natural Language Processing Garimella, Aparna. - 2020 Abstract: The underlying traits of our demographic group affect and shape our thoughts, and therefore surface in the way we express ourselves and employ language in our day-to-day life. Understanding and analyzing language use in people from different demographic backgrounds help uncover their demographic particularities. Conversely, leveraging these differences could lead to the development of better language representations, thus enabling further demographic-focused refinements in natural language processing (NLP) tasks. In this thesis, I employ methods rooted in computational linguistics to better understand various demographic groups through their language use. The thesis makes two main contributions. First, it provides empirical evidence that words are indeed used differently by different demographic groups in naturally occurring text. Through experiments conducted on large datasets which display usage scenarios for hundreds of frequent words, I show that automatic classification methods can be effective in distinguishing between word usages of different demographic groups. I compare the encoding ability of the utilized features by conducting feature analyses, and shed light on how various attributes contribute to highlighting the differences. Second, the thesis explores whether demographic differences in word usage by different groups can inform the development of more refined approaches to NLP tasks. Specifically, I start by investigating the task of word association prediction. The thesis shows that going beyond the traditional ``one-size-fits-all'' approach, demographic-aware models achieve better performances in predicting word associations for different demographic groups than generic ones. Next, I investigate the impact of demographic information on part-of-speech tagging and syntactic parsing, and the experiments reveal numerous part-of-speech tags and syntactic relations, whose predictions benefit from the prevalence of a specific group in the training data. Finally, I explore demographic-specific humor generation, and develop a humor generation framework to fill-in the blanks to generate funny stories, while taking into account people's demographic backgrounds. ; PHD ; Computer Science & Engineering ; University of Michigan, Horace H. Rackham School of Graduate Studies ; https://deepblue.lib.umich.edu/bitstream/2027.42/155164/1/gaparna_1.pdf Keyword: Computer Science; Demographic-Aware Humor Generation in Mad Libs; Demographic-Aware Natural Language Processing; Demographic-Aware Word Associations; Engineering; Gender-Bias in Part-of-Speech Tagging and Dependency Parsing; Identifying Demographic Differences in Word Usage; Personalization in Language URL: https://hdl.handle.net/2027.42/155164 BASE Hide details 74 Top-Down Grouping Affects Adjacent Dependency Learning Wang, Felix Hao; Zevin, Jason D.; Mintz, Toben H.... In: Psychology Faculty Publications (2020) BASE Show details 75 On understanding character-level models for representing morphology Vania, Clara. - : The University of Edinburgh, 2020 BASE Show details 76 Studying Dependency Maintenance Practices Through the Mining of Data from npm Packages Cogo, Filipe. - 2020 BASE Show details 77 Cognitive Constraints Built into Formal Grammars: Implications for Language Evolution Gómez-Rodríguez, Carlos; Christiansen, Morten H.; Ferrer-i-Cancho, Ramon. - : Ravignani, A., Barbieri, C., Martins, M., Flaherty, M., Jadoul, Y., Lattenkamp, E., Little, H., Mudd, K., Verhoef, T., 2020 BASE Show details 78 The structural motivation of palatalization ; A motivação estrutural da palatalização ; La motivación estructural de la palatalización Battisti, Elisa; Hermans, Ben. - 2020 BASE Show details 79 Self attended stack pointer networks for learning long term dependencies Can, Burcu; Tuç, Salih. - : Association for Computational Linguistics, 2020 BASE Show details 80 Induction of Minimalist Grammars over Morphemes Ermolaeva, Marina In: Proceedings of the Society for Computation in Linguistics (2020) BASE Show details Page: 1 2 3 4 5 6 7 8...60

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