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Brno University of Technology

1. Chovanec, Tomáš. Rezervace vstupenek pomocí botů na chatovacích platformách: Chat Bot Based Ticket Reservation.

Degree: 2019, Brno University of Technology

Today, people are starting to get familiar with the term of chat bots and it makes nodifference if they are specialists or general public. The aim of this thesis is to define chat botsas a web service, describe platforms which use this service and try to develop a connectionfor advanced functions, for example online payment gateways or virtual assistants, to extendcurrent ticket booking chat bot services. Advisors/Committee Members: Pluskal, Jan (advisor), Lichtner, Ondrej (referee).

Subjects/Keywords: chat bot; Microsoft Bot Framework; proces rezervácie vstupeniek; inteligentný asistent; Cortana; platobná brána; PayPal; internetový kalendár; Google Calendar; kognitívne rozpoznávanie; chat bot; Microsoft Bot Framework; ticket reservation; virtual assistant; Cortana; onlinepayment solutions; PayPal; calendar services; Google Calendar; cognitive recognition

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chovanec, T. (2019). Rezervace vstupenek pomocí botů na chatovacích platformách: Chat Bot Based Ticket Reservation. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/69875

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chovanec, Tomáš. “Rezervace vstupenek pomocí botů na chatovacích platformách: Chat Bot Based Ticket Reservation.” 2019. Thesis, Brno University of Technology. Accessed November 26, 2020. http://hdl.handle.net/11012/69875.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chovanec, Tomáš. “Rezervace vstupenek pomocí botů na chatovacích platformách: Chat Bot Based Ticket Reservation.” 2019. Web. 26 Nov 2020.

Vancouver:

Chovanec T. Rezervace vstupenek pomocí botů na chatovacích platformách: Chat Bot Based Ticket Reservation. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Nov 26]. Available from: http://hdl.handle.net/11012/69875.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chovanec T. Rezervace vstupenek pomocí botů na chatovacích platformách: Chat Bot Based Ticket Reservation. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/69875

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

2. Rinnarv, Jonathan. GANChat : A Generative Adversarial Network approach for chat bot learning.

Degree: Electrical Engineering and Computer Science (EECS), 2020, KTH

Recently a new method for training generative neural networks called Generative Adversarial Networks (GAN) has shown great results in the computer vision domain and shown potential in other generative machine learning tasks as well. GAN training is an adversarial training method where two neural networks compete and attempt to outperform each other, and in the process they both learn. In this thesis the effectiveness of GAN training is tested on conversational agents also called chat bots. To test this, current state-of-the-art training methods such as Maximum Likelihood Estimation (MLE) models are compared with GAN method trained models. Model performance was measured by closeness of the model distribution from the target distribution after training. This thesis shows that the GAN method performs worse the MLE in some scenarios but can outperform MLE in some cases.

Nyligen har en ny metod för att träna generativa neurala nätverk kallad Generative Adversarial Networks (GAN) visat bra resultat inom datorseendedomänen och visat potential inom andra maskininlärningsområden också GAN-träning är en träningsmetod där två neurala nätverk tävlar och försöker överträffa varandra, och i processen lär sig båda. I detta examensarbete har effektiviteten av GAN-träning testats på konversationsagenter, som också kallas Chat bots. För att testa det här jämfördes modeller tränade med nuvarande state-of- the-art träningsmetoder, så som Maximum likelihood-metoden (ML), med GAN-tränade modeller. Modellernas prestation mättes genom distans från modelldistribution till måldistribution efter träning. Det här examensarbetet visar att GAN-metoden presterar sämre än ML-metoden i vissa scenarier men kan överträffa ML i vissa fall.

Subjects/Keywords: Computer science Machine learning GAN chat bot; Computer Sciences; Datavetenskap (datalogi)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rinnarv, J. (2020). GANChat : A Generative Adversarial Network approach for chat bot learning. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278143

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rinnarv, Jonathan. “GANChat : A Generative Adversarial Network approach for chat bot learning.” 2020. Thesis, KTH. Accessed November 26, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278143.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rinnarv, Jonathan. “GANChat : A Generative Adversarial Network approach for chat bot learning.” 2020. Web. 26 Nov 2020.

Vancouver:

Rinnarv J. GANChat : A Generative Adversarial Network approach for chat bot learning. [Internet] [Thesis]. KTH; 2020. [cited 2020 Nov 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278143.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rinnarv J. GANChat : A Generative Adversarial Network approach for chat bot learning. [Thesis]. KTH; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278143

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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