Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Sedivy, Jan"'
Autor:
Pichl, Jan, Marek, Petr, Konrád, Jakub, Lorenc, Petr, Kobza, Ondřej, Zajíček, Tomáš, Šedivý, Jan
Publikováno v:
NAACL Demo Track (2022) 39-45
This paper presents a conversational AI platform called Flowstorm. Flowstorm is an open-source SaaS project suitable for creating, running, and analyzing conversational applications. Thanks to the fast and fully automated build process, the dialogues
Externí odkaz:
http://arxiv.org/abs/2212.09377
Autor:
Lorenc, Petr, Gargiani, Tommaso, Pichl, Jan, Konrád, Jakub, Marek, Petr, Kobza, Ondřej, Šedivý, Jan
Conversational agents are usually designed for closed-world environments. Unfortunately, users can behave unexpectedly. Based on the open-world environment, we often encounter the situation that the training and test data are sampled from different d
Externí odkaz:
http://arxiv.org/abs/2204.10849
The high prevalence of depression in society has given rise to the need for new digital tools to assist in its early detection. To this end, existing research has mainly focused on detecting depression in the domain of social media, where there is a
Externí odkaz:
http://arxiv.org/abs/2204.10841
Autor:
Konrád, Jakub, Pichl, Jan, Marek, Petr, Lorenc, Petr, Ta, Van Duy, Kobza, Ondřej, Hýlová, Lenka, Šedivý, Jan
The open domain-dialogue system Alquist has a goal to conduct a coherent and engaging conversation that can be considered as one of the benchmarks of social intelligence. The fourth version of the system, developed within the Alexa Prize Socialbot Gr
Externí odkaz:
http://arxiv.org/abs/2109.07968
Publikováno v:
The Prague Bulletin of Mathematical Linguistics 2021 116
The foundation for the research of summarization in the Czech language was laid by the work of Straka et al. (2018). They published the SumeCzech, a large Czech news-based summarization dataset, and proposed several baseline approaches. However, it i
Externí odkaz:
http://arxiv.org/abs/2104.10454
The intent recognition is an essential algorithm of any conversational AI application. It is responsible for the classification of an input message into meaningful classes. In many bot development platforms, we can configure the NLU pipeline. Several
Externí odkaz:
http://arxiv.org/abs/2011.09825
The third version of the open-domain dialogue system Alquist developed within the Alexa Prize 2020 competition is designed to conduct coherent and engaging conversations on popular topics. The main novel contribution is the introduction of a system l
Externí odkaz:
http://arxiv.org/abs/2011.03261
This paper presents the second version of the dialogue system named Alquist competing in Amazon Alexa Prize 2018. We introduce a system leveraging ontology-based topic structure called topic nodes. Each of the nodes consists of several sub-dialogues,
Externí odkaz:
http://arxiv.org/abs/2011.03259
This paper describes a new open domain dialogue system Alquist developed as part of the Alexa Prize competition for the Amazon Echo line of products. The Alquist dialogue system is designed to conduct a coherent and engaging conversation on popular t
Externí odkaz:
http://arxiv.org/abs/1804.06705
Autor:
Kobza, Ondrej1 (AUTHOR) kobzaond@fel.cvut.cz, Herel, David1 (AUTHOR), Cuhel, Jan1 (AUTHOR), Gargiani, Tommaso1 (AUTHOR), Marek, Petr1 (AUTHOR), Sedivy, Jan1 (AUTHOR) david.herel@seznam.cz
Publikováno v:
Future Internet. Sep2024, Vol. 16 Issue 9, p344. 28p.
