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Marcin Sowanski
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2020 – today
- 2024
- [i3]Jakub Hoscilowicz, Pawel Pawlowski, Marcin Skorupa, Marcin Sowanski, Artur Janicki:
Large Language Models for Expansion of Spoken Language Understanding Systems to New Languages. CoRR abs/2404.02588 (2024) - 2023
- [c8]Marek Kubis, Pawel Skórzewski
, Marcin Sowanski
Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors. EMNLP 2023: 11824-11835 - [c7]Marcin Sowanski
Optimizing Machine Translation for Virtual Assistants: Multi-Variant Generation with VerbNet and Conditional Beam Search. FedCSIS 2023: 1149-1154 - [c6]Marek Kubis
Center for Artificial Intelligence Challenge on Conversational AI Correctness. FedCSIS 2023: 1319-1324 - [c5]Jakub Hoscilowicz, Marcin Sowanski, Piotr Czubowski, Artur Janicki:
Can We Use Probing to Better Understand Fine-Tuning and Knowledge Distillation of the BERT NLU? ICAART (3) 2023: 625-632 - [c4]Marek Kozlowski
Enhanced Emotion and Sentiment Recognition for Empathetic Dialogue System Using Big Data and Deep Learning Methods. ICCS (1) 2023: 465-480 - [c3]Karolina Gabor-Siatkowska
Therapeutic Spoken Dialogue System in Clinical Settings: Initial Experiments. IWSSIP 2023: 1-5 - [c2]Marcin Sowanski, Artur Janicki:
Slot Lost in Translation? Not Anymore: A Machine Translation Model for Virtual Assistants with Type-Independent Slot Transfer. IWSSIP 2023: 1-5 - [i2]Jakub Hoscilowicz, Marcin Sowanski, Piotr Czubowski, Artur Janicki:
Can We Use Probing to Better Understand Fine-tuning and Knowledge Distillation of the BERT NLU? CoRR abs/2301.11688 (2023) - [i1]Marek Kubis, Pawel Skórzewski
Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors. CoRR abs/2310.16609 (2023) - 2020
- [c1]Marcin Sowanski
Leyzer: A Dataset for Multilingual Virtual Assistants. TDS 2020: 477-486
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