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1
SemEval 2021 Task 12: Learning with Disagreement ...
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SemEval-2021 Task 12: Learning with Disagreements
Uma, Alexandra; Fornaciari, Tommaso; Dumitrache, Anca. - : Association for Computational Linguistics, 2021
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3
Phrase Detectives Corpus Version 2
Chamberlain, Jon; Paun, Silviu; Yu, Juntao. - : Linguistic Data Consortium, 2019. : https://www.ldc.upenn.edu, 2019
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4
Phrase Detectives Corpus Version 2 ...
Chamberlain, Jon; Paun, Silviu; Yu, Juntao. - : Linguistic Data Consortium, 2019
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5
Crowdsourcing and Aggregating Nested Markable Annotations ...
Madge, Chris; Yu, Juntao; Chamberlain, Jon. - : Universität Regensburg, 2019
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6
Crowdsourcing and Aggregating Nested Markable Annotations
Madge, Chris; Yu, Juntao; Chamberlain, Jon. - : Association for Computational Linguistics, 2019
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7
A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation
Paun, Silviu; Uma, Alexandra; Poesio, Massimo. - : Association for Computational Linguistics, 2019
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8
Crowdsourcing and Aggregating Nested Markable Annotations
Poesio, Massimo; Yu, Juntao; Chamberlain, Jon. - : Association for Computational Linguistics, 2019
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9
A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation
Poesio, Massimo; Chamberlain, Jon; Paun, Silviu. - : Association for Computational Linguistics, 2019
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10
Exploring Language Style in Chatbots to Increase Perceived Product Value and User Engagement
Elsholz, Ela; Chamberlain, Jon; Kruschwitz, Udo. - : ACM (Association for Computing Machinery), 2019
Abstract: Chatbots that can automatically answer customer requests have become a common feature on e-commerce Web sites. There are many factors that might affect overall customer satisfaction with such services. We explore how adding language style to e-commerce chatbots can be used to increase user satisfaction, perceived product value, user interest in a product, and user engagement with a chatbot service. We conducted an experimental pilot study, where two chatbots were used to sell theatre tickets: one communicating in modern English and one in a Shakespearean-style dialect. 169 participants interacted with a randomly-assigned version of the chatbot. The results indicate that the bot talking in modern English showed a significantly higher user satisfaction, whereas the Shakespearean-styled chatbot showed higher user engagement and perceived product value. It was also found that the modern chatbot version was more often referred to as being 'easy to use', whereas the Shakespearean chatbot version was more often referred to as being 'fun to use'.
Keyword: 020 Bibliotheks- und Informationswissenschaft; ddc:020
URL: https://epub.uni-regensburg.de/43411/
https://dl.acm.org/doi/10.1145/3295750.3298956
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11
A Probabilistic Annotation Model for Crowdsourcing Coreference
Kruschwitz, Udo; Chamberlain, Jon; Yu, Juntao. - : Association for Computational Linguistics, 2018
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12
Phrase Detectives Corpus
Chamberlain, Jon; Poesio, Massimo; Kruschwitz, Udo. - : Linguistic Data Consortium, 2017. : https://www.ldc.upenn.edu, 2017
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13
Phrase Detectives Corpus ...
Chamberlain, Jon; Poesio, Massimo; Kruschwitz, Udo. - : Linguistic Data Consortium, 2017
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14
Markup Infrastructure for the Anaphoric Bank: Supporting Web Collaboration
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