Leyzer: A Dataset for Multilingual Virtual Assistants. - Marcin Sowanski; Artur Janicki (TDS, 2020)

Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors. - Marek Kubis; Pawel Skórzewski; Marcin Sowanski; Tomasz Zietkiewicz (EMNLP, 2023)

Center for Artificial Intelligence Challenge on Conversational AI Correctness. - Marek Kubis; Pawel Skórzewski; Marcin Sowanski; Tomasz Zietkiewicz (FedCSIS, 2023)

Optimizing Machine Translation for Virtual Assistants: Multi-Variant Generation with VerbNet and Conditional Beam Search. - Marcin Sowanski; Artur Janicki (FedCSIS, 2023)

Can We Use Probing to Better Understand Fine-Tuning and Knowledge Distillation of the BERT NLU? - Jakub Hoscilowicz; Marcin Sowanski; Piotr Czubowski; Artur Janicki (ICAART (3), 2023)

Enhanced Emotion and Sentiment Recognition for Empathetic Dialogue System Using Big Data and Deep Learning Methods. - Marek Kozlowski; Karolina Gabor-Siatkowska; Izabela Stefaniak; Marcin Sowanski; Artur Janicki (ICCS (1), 2023)

Therapeutic Spoken Dialogue System in Clinical Settings: Initial Experiments. - Karolina Gabor-Siatkowska; Marcin Sowanski; Mikolaj Pudo; Rafal Rzatkiewicz; Izabela Stefaniak; Marek Kozlowski; Artur Janicki (IWSSIP, 2023)

Slot Lost in Translation? Not Anymore: A Machine Translation Model for Virtual Assistants with Type-Independent Slot Transfer. - Marcin Sowanski; Artur Janicki (IWSSIP, 2023)

Large Language Models for Expansion of Spoken Language Understanding Systems to New Languages. - Jakub Hoscilowicz; Pawel Pawlowski; Marcin Skorupa; Marcin Sowanski; Artur Janicki (CoRR, 2024)