Ontology-based framework for a multi-domain spoken dialogue system

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A3639L9KE" target="_blank" >RIV/00216208:11320/25:3639L9KE - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049565494&doi=10.1007%2fs12652-017-0625-y&partnerID=40&md5=482bbdfda1342acd0c88aff9900af098" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049565494&doi=10.1007%2fs12652-017-0625-y&partnerID=40&md5=482bbdfda1342acd0c88aff9900af098</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s12652-017-0625-y" target="_blank" >10.1007/s12652-017-0625-y</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Ontology-based framework for a multi-domain spoken dialogue system

Popis výsledku v původním jazyce

Multi-domain spoken dialogue is a challenging field where the objective of the most proposed ideas is to mimic the human–human dialogue. This paper proposes to tackle the domain selection problem in the context of multi-domain spoken dialogue as a set theory problem to resolve. First, we built each dialogue domain as an ontology following an architecture with some rules to respect. Second, each ontology is considered as a set and its concepts are the elements. Third, an ontology-based classifier is used to map the user sentence into a set of ontologies concepts and to generate an intersection between these concepts. Finally, a new turn analysis and domain selection algorithm is proposed to infer the intended domain from the user sentence using the intersection set and three techniques, namely Domain Rewards, Dominant Concept, and Current Domain. To evaluate the proposed approach, a corpus of 120 simulated dialogues was built to cover four application domains. In our experiment, the assessment of the system is performed by considering all possibilities of a natural verbal interaction where a changing of semantic context occurs during the dialogue. The obtained results show that the system accuracy reaches a satisfactory performance of 83.13% while the average number of turns by dialogue is 6.79. © Springer-Verlag GmbH Germany, part of Springer Nature 2017.

Název v anglickém jazyce

Ontology-based framework for a multi-domain spoken dialogue system

Popis výsledku anglicky

Multi-domain spoken dialogue is a challenging field where the objective of the most proposed ideas is to mimic the human–human dialogue. This paper proposes to tackle the domain selection problem in the context of multi-domain spoken dialogue as a set theory problem to resolve. First, we built each dialogue domain as an ontology following an architecture with some rules to respect. Second, each ontology is considered as a set and its concepts are the elements. Third, an ontology-based classifier is used to map the user sentence into a set of ontologies concepts and to generate an intersection between these concepts. Finally, a new turn analysis and domain selection algorithm is proposed to infer the intended domain from the user sentence using the intersection set and three techniques, namely Domain Rewards, Dominant Concept, and Current Domain. To evaluate the proposed approach, a corpus of 120 simulated dialogues was built to cover four application domains. In our experiment, the assessment of the system is performed by considering all possibilities of a natural verbal interaction where a changing of semantic context occurs during the dialogue. The obtained results show that the system accuracy reaches a satisfactory performance of 83.13% while the average number of turns by dialogue is 6.79. © Springer-Verlag GmbH Germany, part of Springer Nature 2017.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

—

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Ambient Intelligence and Humanized Computing

ISSN

1868-5137

e-ISSN

—

Svazek periodika

15

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

23

Strana od-do

1543-1565

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85049565494