Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Kubis, Marek"'
Autor:
Dzienisiewicz, Daniel, Graliński, Filip, Jabłoński, Piotr, Kubis, Marek, Skórzewski, Paweł, Wierzchoń, Piotr
This paper presents the POLygraph dataset, a unique resource for fake news detection in Polish. The dataset, created by an interdisciplinary team, is composed of two parts: the "fake-or-not" dataset with 11,360 pairs of news articles (identified by t
Externí odkaz:
http://arxiv.org/abs/2407.01393
Autor:
Czyżnikiewicz, Mateusz, Bondaruk, Łukasz, Kubiak, Jakub, Wiącek, Adam, Degórski, Łukasz, Kubis, Marek, Skórzewski, Paweł
In this paper we study the impact of augmenting spoken language corpora with domain-specific synthetic samples for the purpose of training a speech recognition system. Using both a conventional neural TTS system and a zero-shot one with voice cloning
Externí odkaz:
http://arxiv.org/abs/2406.07090
This paper discusses two approaches to the diachronic normalization of Polish texts: a rule-based solution that relies on a set of handcrafted patterns, and a neural normalization model based on the text-to-text transfer transformer architecture. The
Externí odkaz:
http://arxiv.org/abs/2402.01300
In a spoken dialogue system, an NLU model is preceded by a speech recognition system that can deteriorate the performance of natural language understanding. This paper proposes a method for investigating the impact of speech recognition errors on the
Externí odkaz:
http://arxiv.org/abs/2310.16609
Publikováno v:
Vetulani, Zygmunt, Paroubek, Patrick (eds.): Proceedings of the 9th Language and Technology Conference, pp. 219-223, Wydawnictwo Nauka i Innowacje, Pozna\'n, Poland, 2019
The paper announces the new long-term challenge for improving the performance of automatic speech recognition systems. The goal of the challenge is to investigate methods of correcting the recognition results on the basis of previously made errors by
Externí odkaz:
http://arxiv.org/abs/2001.03041
Publikováno v:
In Computer Speech & Language July 2020 62
We aim to introduce a comprehensive workflow for the enrichment and linking the metadata of a literary corpus, including an implementation of FAIR principles, which have been developed in the field of scientific data management. We will present the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02abbb5f0b8c5ea72a655b658b19b037
PV power conversion and short-term forecasting in a tropical, densely-built environment in Singapore
Autor:
Nobre, André M., Severiano, Carlos A., Jr., Karthik, Shravan, Kubis, Marek, Zhao, Lu, Martins, Fernando R., Pereira, Enio B., Rüther, Ricardo, Reindl, Thomas
Publikováno v:
In Renewable Energy August 2016 94:496-509
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