14 citations · 61 across the 9 of their papers we have counts for
10 papers
Flowstorm: Open-Source Platform with Hybrid Dialogue Architecture
Jan Pichl, Petr Marek, Jakub Konrád +4
This paper presents a conversational AI platform called Flowstorm. Flowstorm is an open-source SaaS project suitable for creating, running, and analyzing conversational application…
Metric Learning and Adaptive Boundary for Out-of-Domain Detection
Petr Lorenc, Tommaso Gargiani, Jan Pichl +4
Conversational agents are usually designed for closed-world environments. Unfortunately, users can behave unexpectedly. Based on the open-world environment, we often encounter the…
Alquist 4.0: Towards Social Intelligence Using Generative Models and Dialogue Personalization
Jakub Konrád, Jan Pichl, Petr Marek +5
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 fourt…
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…
Do We Need Online NLU Tools?
Petr Lorenc, Petr Marek, Jan Pichl +2
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…