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1
Referential Communication Between Friends and Strangers in the Wild
In: Dialogue & Discourse; Vol 12 No 1 (2021); 45-72 ; 2152-9620 (2021)
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2
Stylistic Control for Neural Natural Language Generation
Oraby, Shereen. - : eScholarship, University of California, 2019
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3
Implicit Discourse Relation Identification for Open-domain Dialogues ...
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4
CruzAffect at AffCon 2019 Shared Task: A feature-rich approach to characterize happiness ...
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5
A Narrative Sentence Planner and Structurer for Domain Independent, Parameterizable Storytelling
In: Dialogue & Discourse; Vol 10 No 1 (2019); 34-86 ; 2152-9620 (2019)
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6
Detection of Sarcasm and Nastiness: New Resources for Spanish Language [<Journal>]
Justo, Raquel [Verfasser]; Alcaide, José M. [Sonstige]; Torres, M. Inés [Sonstige].
DNB Subject Category Language
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7
Neural Generation of Diverse Questions using Answer Focus, Contextual and Linguistic Features ...
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8
Neural MultiVoice Models for Expressing Novel Personalities in Dialog ...
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9
Post-specialisation: Retrofitting vectors of words unseen in lexical resources
Mrkšić, Nikola; Glavaš, Goran; Korhonen, Anna. - : Association for Computational Linguistics, 2018
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10
Discriminating between lexico-semantic relations with the specialization tensor model
Vulić, Ivan; Glavaš, Goran. - : Association for Computational Linguistics, 2018
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11
M2D: Monolog to Dialog Generation for Conversational Story Telling ...
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12
And That's A Fact: Distinguishing Factual and Emotional Argumentation in Online Dialogue ...
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13
Linguistic Reflexes of Well-Being and Happiness in Echo ...
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14
Summarizing Dialogic Arguments from Social Media ...
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15
Are you serious?: Rhetorical Questions and Sarcasm in Social Media Dialog ...
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16
Harvesting Creative Templates for Generating Stylistically Varied Restaurant Reviews ...
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17
Argument Strength is in the Eye of the Beholder: Audience Effects in Persuasion ...
Abstract: Americans spend about a third of their time online, with many participating in online conversations on social and political issues. We hypothesize that social media arguments on such issues may be more engaging and persuasive than traditional media summaries, and that particular types of people may be more or less convinced by particular styles of argument, e.g. emotional arguments may resonate with some personalities while factual arguments resonate with others. We report a set of experiments testing at large scale how audience variables interact with argument style to affect the persuasiveness of an argument, an under-researched topic within natural language processing. We show that belief change is affected by personality factors, with conscientious, open and agreeable people being more convinced by emotional arguments. ... : European Chapter of the Association for Computational Linguistics (EACL 2017) ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.1708.09085
https://arxiv.org/abs/1708.09085
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18
A Semi-Supervised Approach to Detecting Stance in Tweets ...
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19
Learning Lexico-Functional Patterns for First-Person Affect ...
Reed, Lena; Wu, Jiaqi; Oraby, Shereen. - : arXiv, 2017
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20
Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue ...
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