12 citations · 30 across the 3 of their papers we have counts for
6 papers
Text Summarization of Czech News Articles Using Named Entities
Petr Marek, Štěpán Müller, Jakub Konrád +3
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 summariz…
OodGAN: Generative Adversarial Network for Out-of-Domain Data Generation
Petr Marek, Vishal Ishwar Naik, Vincent Auvray +1
Detecting an Out-of-Domain (OOD) utterance is crucial for a robust dialog system. Most dialog systems are trained on a pool of annotated OOD data to achieve this goal. However, col…
Alquist 3.0: Alexa Prize Bot Using Conversational Knowledge Graph
Jan Pichl, Petr Marek, Jakub Konrád +3
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…
Alquist 2.0: Alexa Prize Socialbot Based on Sub-Dialogue Models
Jan Pichl, Petr Marek, Jakub Konrád +2
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 ca…
Hybrid Code Networks using a convolutional neural network as an input layer achieves higher turn accuracy
Petr Marek
The dialogue management is a task of conversational artificial intelligence. The goal of the dialogue manager is to select the appropriate response to the conversational partner co…
Alquist: The Alexa Prize Socialbot
Jan Pichl, Petr Marek, Jakub Konrád +3
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…