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A data-driven approach for a chatbot usingtranscripts from a TV-series
KTH, School of Computer Science and Communication (CSC).
KTH, School of Computer Science and Communication (CSC).
2014 (English)Independent thesis Advanced level (professional degree), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This paper explores a data-driven approach for a chatbotwhere it utilises a database of transcripts from a TV-seriesin an attempt to hide its lack of linguistic knowledge and familiarity of the human language. A built-upon version of the naive implementation with rules prioritizing responses from the same scene to increase coherency is implementedand is compared to the original. Both versions of the chatbot shows some coherency for the individual instance but this diminishes in longer conversations. No significant difference can be found between the two versions.

Abstract [sv]

Denna rapport undersöker en datadriven metod för en chatbot där den använder en databas av repliker från en TV serie i ett försök att dölja sina bristande språkkunskaper. En utbyggd version av den naiva implementationen som har regler för att prioritera repliker från samma scen som föregående svar implementeras och jämförs med den ursprungliga. Båda versionerna av chatbotten uppvisar koherens för enskilda fall men detta förminskas i längre konversationer. Ingen signifikant skillnad mellan de två versionerna påvisas.

Place, publisher, year, edition, pages
National Category
Computer Science
URN: urn:nbn:se:kth:diva-157635OAI: diva2:770763
Available from: 2014-12-12 Created: 2014-12-11 Last updated: 2014-12-12Bibliographically approved

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