Di Maro, Maria (2021) "Shouldn't I use a polarquestion?" Proper Question Forms Disentangling Inconsistencies in Dialogue Systems. [Tesi di dottorato]


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Item Type: Tesi di dottorato
Resource language: English
Title: "Shouldn't I use a polarquestion?" Proper Question Forms Disentangling Inconsistencies in Dialogue Systems
Di Maro, Mariamaria.dimaro2@unina.it
Date: 2021
Number of Pages: 196
Institution: Università degli Studi di Napoli Federico II
Department: Studi Umanististici
Dottorato: Mind, gender and languages
Ciclo di dottorato: 33
Coordinatore del Corso di dottorato:
Bacchini, Dariodario.bacchini@unina.it
Cutugno, FrancescoUNSPECIFIED
Turrizziani, PaoloUNSPECIFIED
Date: 2021
Number of Pages: 196
Keywords: common ground inconsistensies, clarification requests, human-machine interaction
Settori scientifico-disciplinari del MIUR: Area 10 - Scienze dell'antichità, filologico-letterarie e storico-artistiche > L-LIN/01 - Glottologia e linguistica
Date Deposited: 25 Apr 2021 15:32
Last Modified: 07 Jun 2023 10:22
URI: http://www.fedoa.unina.it/id/eprint/14051

Collection description

This work reports on the description of a specific class of clarification requests, adopted for the negotiation of pieces of information part of the common ground for argumentation strategies in human-machine interaction. Two studies are carried out to prove the adequateness of a specific form of polar question in a specific pragmatic situation, where a presupposition is contradicted by a new evidence. Whereas the first one proves the appropriateness of the negative form, the second one also demonstrate how the use of such a form, in the aforementioned pragmatic situation, can affect the principle of robustness, in terms of observability and recoverability, important in human–machine interaction applications. Given the results obtained in the two studies, dialogue systems with such capabilities are, therefore, a desirable goal, as they are expected to lead to improved usability and naturalness in conversation. For this reason, I present here a system capable of detecting conflicts and of using argumentation strategies to signal them consistently with previous observations.


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