Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Marek Kubis"'
Autor:
Marek Kubis
Publikováno v:
Digital Scholarship in the Humanities. 36:ii175-ii181
This article presents a study on induction and quantitative analysis of character networks inferred from Polish novels. The corpus compiled for this study includes both 19th- and 20th-century literary works in the form of electronic editions of novel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9fdd8fcd8d75bf5492b14b32e686ec7
https://doi.org/10.1093/llc/fqab012
https://doi.org/10.1093/llc/fqab012
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3559adc75a46d0410a0a0c9698713507
https://doi.org/10.1109/icassp43922.2022.9746710
https://doi.org/10.1109/icassp43922.2022.9746710
Publikováno v:
Human Language Technology. Challenges for Computer Science and Linguistics ISBN: 9783031053276
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80f4bdc4933d4194464ce9bb4cd792c9
https://doi.org/10.1007/978-3-031-05328-3_21
https://doi.org/10.1007/978-3-031-05328-3_21
Publikováno v:
Human Language Technology. Challenges for Computer Science and Linguistics ISBN: 9783031053276
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3c61202e68626626c2a8ce8e272ba06
https://doi.org/10.1007/978-3-031-05328-3_17
https://doi.org/10.1007/978-3-031-05328-3_17
Autor:
Marek Kubis, Marzhan Kyrgyzbayeva, Darkhan Akhmed-Zaki, V. B. Barakhnin, Madina Mansurova, Darya Chikibayeva
Publikováno v:
Computational Collective Intelligence ISBN: 9783030630065
ICCCI
ICCCI
Named entity recognition is one of the important tasks in natural language processing. Its practical application can be found in various areas such as speech recognition, information retrieval, filtering, etc. Nowadays there are a variety of availabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54eec5fb312eb0899d048814c3c227d5
https://doi.org/10.1007/978-3-030-63007-2_54
https://doi.org/10.1007/978-3-030-63007-2_54
This book constitutes the refereed proceedings of the 9th Language and Technology Conference: Challenges for Computer Science and Linguistics, LTC 2019, held in Poznan, Poland, in May 2019. The 24 revised papers presented in this volume were carefull
This book constitutes the refereed proceedings of the 8th Language and Technology Conference: Challenges for Computer Science and Linguistics, LTC 2017, held in Poznan, Poland, in November 2017. The 26 revised papers presented in this volume were car
PV power conversion and short-term forecasting in a tropical, densely-built environment in Singapore
Autor:
Enio Bueno Pereira, Shravan Karthik, Fernando Ramos Martins, Marek Kubis, Lu Zhao, André M. Nobre, Carlos A. Severiano, Thomas Reindl, Ricardo Rüther
Publikováno v:
Renewable Energy. 94:496-509
With the substantial growth of solar photovoltaic installations worldwide, forecasting irradiance becomes a critical step in providing a reliable integration of solar electricity into electric power grids. In Singapore, the number of PV installation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0db257360a6a23cb9519e91aa3e7680c
https://doi.org/10.1016/j.renene.2016.03.075
https://doi.org/10.1016/j.renene.2016.03.075
Publikováno v:
Computer Speech & Language. 62:101074
This paper describes a solution for the Noetic End-to-End Response Selection challenge – one of the tasks of the 7th Dialog System Technology Challenge. The goal of the task is to select the most appropriate continuation of a dialogue from a given
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0ba6458cdebaa919e63e108709d6f92
https://doi.org/10.1016/j.csl.2020.101074
https://doi.org/10.1016/j.csl.2020.101074
Autor:
Marek Kubis
Publikováno v:
Human Language Technology. Challenges for Computer Science and Linguistics ISBN: 9783319937816
LTC
LTC
The paper describes a new framework for computing the semantic similarity of words and concepts using WordNet-like databases. The main advantage of the presented approach is the ability to implement similarity measures as concise expressions in the e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3f7a4ed7bfc3875ca865adf3fad0562
https://doi.org/10.1007/978-3-319-93782-3_12
https://doi.org/10.1007/978-3-319-93782-3_12