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Found 8 papers, 3 papers with code
Flowstorm: Open-Source Platform with Hybrid Dialogue Architecture
One of the essential features of the platform is the possibility to reuse the created assets across applications.
Detecting early signs of depression in the conversational domain: The role of transfer learning in low-resource scenarios
Unfortunately, there is a lack of data in the conversational domain.
Metric Learning and Adaptive Boundary for Out-of-Domain Detection
Based on the open-world environment, we often encounter the situation that the training and test data are sampled from different distributions.
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Alquist 4.0: Towards Social Intelligence Using Generative Models and Dialogue Personalization
In this work, we present the principles and inner workings of individual components of the open-domain dialogue system Alquist developed within the Alexa Prize Socialbot Grand Challenge 4 and the experiments we have conducted to evaluate them.
Joint model for intent and entity recognition
The semantic understanding of natural dialogues composes of several parts.
Text Summarization of Czech News Articles Using Named Entities
In our work, we focus on the impact of named entities on the summarization of Czech news articles.
Do We Need Online NLU Tools?
In this paper, we suggest criteria to choose the best intent recognition algorithm for an application.
Alquist 3.0: Alexa Prize Bot Using Conversational Knowledge Graph
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.
