Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
State-of-the-Art in Open-Domain Conversational AI: A Survey
Luleå tekniska universitet, Institutionen för system- och rymdteknik, EISLAB.ORCID-id: 0000-0002-5582-2031
Luleå tekniska universitet, Institutionen för system- och rymdteknik, EISLAB.ORCID-id: 0000-0002-6756-0147
Luleå tekniska universitet, Institutionen för system- och rymdteknik, EISLAB.ORCID-id: 0000-0003-4029-6574
2022 (Engelska)Ingår i: Information, E-ISSN 2078-2489, Vol. 13, nr 6, artikel-id 298Artikel, forskningsöversikt (Refereegranskat) Published
Abstract [en]

We survey SoTA open-domain conversational AI models with the objective of presenting the prevailing challenges that still exist to spur future research. In addition, we provide statistics on the gender of conversational AI in order to guide the ethics discussion surrounding the issue. Open-domain conversational AI models are known to have several challenges, including bland, repetitive responses and performance degradation when prompted with figurative language, among others. First, we provide some background by discussing some topics of interest in conversational AI. We then discuss the method applied to the two investigations carried out that make up this study. The first investigation involves a search for recent SoTA open-domain conversational AI models, while the second involves the search for 100 conversational AI to assess their gender. Results of the survey show that progress has been made with recent SoTA conversational AI, but there are still persistent challenges that need to be solved, and the female gender is more common than the male for conversational AI. One main takeaway is that hybrid models of conversational AI offer more advantages than any single architecture. The key contributions of this survey are (1) the identification of prevailing challenges in SoTA open-domain conversational AI, (2) the rarely held discussion on open-domain conversational AI for low-resource languages, and (3) the discussion about the ethics surrounding the gender of conversational AI.

Ort, förlag, år, upplaga, sidor
MDPI, 2022. Vol. 13, nr 6, artikel-id 298
Nyckelord [en]
conversational systems, chatbots, SoTA
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
Maskininlärning
Identifikatorer
URN: urn:nbn:se:ltu:diva-92093DOI: 10.3390/info13060298ISI: 000817478700001Scopus ID: 2-s2.0-85132179365OAI: oai:DiVA.org:ltu-92093DiVA, id: diva2:1681596
Anmärkning

Validerad;2022;Nivå 2;2022-07-07 (sofila)

Tillgänglig från: 2022-07-07 Skapad: 2022-07-07 Senast uppdaterad: 2022-07-28Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextScopus

Person

Adewumi, TosinLiwicki, FoteiniLiwicki, Marcus

Sök vidare i DiVA

Av författaren/redaktören
Adewumi, TosinLiwicki, FoteiniLiwicki, Marcus
Av organisationen
EISLAB
I samma tidskrift
Information
Datavetenskap (datalogi)

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 72 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf