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1	FRANSUZ TILI FONETIKASINI QIYOSLAB O'RGANISHNING AHAMIYATI GAPIRISH KO'NIKMASINI RIVOJLANTIRISHDA DIALOGNING ROLI ...
	Azizabonu Shokirova Shomurot Qizi. - : Zenodo, 2022
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2	FRANSUZ TILI FONETIKASINI QIYOSLAB O'RGANISHNING AHAMIYATI GAPIRISH KO'NIKMASINI RIVOJLANTIRISHDA DIALOGNING ROLI ...
	Azizabonu Shokirova Shomurot Qizi. - : Zenodo, 2022
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3	FRANSUZ TILI FONETIKASINI QIYOSLAB O'RGANISHNING AHAMIYATI GAPIRISH KO'NIKMASINI RIVOJLANTIRISHDA DIALOGNING ROLI ...
	Azizabonu Shokirova Shomurot Qizi. - : Zenodo, 2022
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4	FRANSUZ TILI FONETIKASINI QIYOSLAB O'RGANISHNING AHAMIYATI GAPIRISH KO'NIKMASINI RIVOJLANTIRISHDA DIALOGNING ROLI ...
	Azizabonu Shokirova Shomurot Qizi. - : Zenodo, 2022
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5	Enthymemes and topoi in dialogue : the use of common sense reasoning in conversation
	Breitholtz, Ellen. - Leiden ; Boston : Brill, 2021
	Leibniz-Zentrum Allgemeine Sprachwissenschaft
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6	中国語を母語とする日本語上級学習者の読解過程 : 書き手との対話を促す読解指導に向けて
	砂川有里子; 朱桂栄; Yuriko SUNAKAWA. - : 国立国語研究所, 2021
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7	Dialog, Communication, Cooperation, and Collaboration: Facets of Human-Computer Interaction ...
	Belyaeva, Irina. - : Technology and Language, 2(4), 181-197, 2021
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8	Investigating the stability of lexical entrainment in adulthood ...
	Tobar-Henríquez, Anita. - : Open Science Framework, 2021
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9	How does visual display influence participants' turn-taking and opinions during technology-mediated multiparty discussions? ...
	Tobar-Henríquez, Anita. - : Open Science Framework, 2021
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10	From Disruption to Dialog: Days of Judaism on Polish Twitter
	Mariusz Pisarski; Aleksandra Gralczyk
	In: Religions ; Volume 12 ; Issue 10 (2021)
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11	Language and Reasoning by Entropy Fractals
	Daniela López De Luise
	In: Signals ; Volume 2 ; Issue 4 ; Pages 44-770 (2021)
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12	Leveraging Longitudinal Data for Personalized Prediction and Word Representations ...
	Welch, Charles. - : My University, 2021
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13	Leveraging Longitudinal Data for Personalized Prediction and Word Representations
	Welch, Charles. - 2021
	Abstract: This thesis focuses on personalization, word representations, and longitudinal dialog. We first look at users expressions of individual preferences. In this targeted sentiment task, we find that we can improve entity extraction and sentiment classification using domain lexicons and linear term weighting. This task is important to personalization and dialog systems, as targets need to be identified in conversation and personal preferences affect how the system should react. Then we examine individuals with large amounts of personal conversational data in order to better predict what people will say. We consider extra-linguistic features that can be used to predict behavior and to predict the relationship between interlocutors. We show that these features improve over just using message content and that training on personal data leads to much better performance than training on a sample from all other users. We look not just at using personal data for these end-tasks, but also constructing personalized word representations. When we have a lot of data for an individual, we create personalized word embeddings that improve performance on language modeling and authorship attribution. When we have limited data, but we have user demographics, we can instead construct demographic word embeddings. We show that these representations improve language modeling and word association performance. When we do not have demographic information, we show that using a small amount of data from an individual, we can calculate similarity to existing users and interpolate or leverage data from these users to improve language modeling performance. Using these types of personalized word representations, we are able to provide insight into what words vary more across users and demographics. The kind of personalized representations that we introduce in this work allow for applications such as predictive typing, style transfer, and dialog systems. Importantly, they also have the potential to enable more equitable language models, with improved performance for those demographic groups that have little representation in the data. ; PHD ; Computer Science & Engineering ; University of Michigan, Horace H. Rackham School of Graduate Studies ; http://deepblue.lib.umich.edu/bitstream/2027.42/167971/1/cfwelch_1.pdf
	Keyword: Computer Science; Engineering; longitudinal dialog; natural language processing; personalization; Science
	URL: https://hdl.handle.net/2027.42/167971 https://doi.org/10.7302/1398
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14	Understanding dialogue : language use and social interaction
	Pickering, Martin J.; Garrod, Simon C.. - Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2020
	Leibniz-Zentrum Allgemeine Sprachwissenschaft
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15	When conversation lapses : the public accountability of silent copresence
	Hoey, Elliott M.. - New York, NY : Oxford University Press, 2020
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	UB Frankfurt Linguistik
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16	Für sich selbst sprechen : die "dramatischen Romane" des 18. Jahrhunderts
	Mevissen, Yulia. - Heidelberg : Universitätsverlag Winter, 2020
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	UB Frankfurt Linguistik
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17	"You don't mind my calling you Harry?" : Terms of address in John Updike's "Rabbit" tetralogy
	Backhaus, Peter
	In: International journal of literary linguistics. - Mainz, Germany : Johannes Gutenberg-Universität 9 (2020) 4, 1-28
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	UB Frankfurt Linguistik
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18	"A style which defies convention, tradition, homogeneity, prudence, and sometimes even syntax": Henry James's "The Portrait of a Lady" and Edith Wharton's "The Age of Innocence"
	Nais, Lisa
	In: International journal of literary linguistics. - Mainz, Germany : Johannes Gutenberg-Universität 9 (2020) 2, 1-25
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	UB Frankfurt Linguistik
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19	GDPR Compliance for task-oriented dialog systems conception ; La conformité RGPD dans les systèmes de dialogue orientés-tâche
	Schaub, Léon-Paul; Bruzaud, Christine; Paroubek, Patrick
	In: Proceedings of the workshop on Legal and Ethical Issues (Legal2020) ; workshop on Legal and Ethical Issues (Legal2020) ; https://hal.archives-ouvertes.fr/hal-02939424 ; workshop on Legal and Ethical Issues (Legal2020), LREC, May 2020, Marseille, France (2020)
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20	The 'Sydney corpus of television dialogue': designing and building a corpus of dialogue from US TV series
	Bednarek, Monika
	In: Corpora. - Edinburgh : Univ. Press 15 (2020) 1, 107-119
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