Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Guntis Barzdins"'
Publikováno v:
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3e7f43fdb44ca5555725dcbc9fda4bb
https://doi.org/10.18653/v1/2022.semeval-1.9
https://doi.org/10.18653/v1/2022.semeval-1.9
Autor:
Paulis Barzdins, Audris Kalnins, Edgars Celms, Janis Barzdins, Arturs Sprogis, Mikus Grasmanis, Sergejs Rikacovs, Guntis Barzdins
Publikováno v:
Baltic Journal of Modern Computing. 10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfe48c4ed8adaba1b9d5e0017e8c703d
https://doi.org/10.22364/bjmc.2022.10.1.02
https://doi.org/10.22364/bjmc.2022.10.1.02
Publikováno v:
Proceedings of the 7th International Conference on Complexity, Future Information Systems and Risk.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb6f22c19e1305097c30bc3e3ebd51a3
https://doi.org/10.5220/0011046600003197
https://doi.org/10.5220/0011046600003197
Publikováno v:
Natural Language Processing and Information Systems ISBN: 9783031084720
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fba6087e0ad1dcc04def66cc27a9408b
https://doi.org/10.1007/978-3-031-08473-7_19
https://doi.org/10.1007/978-3-031-08473-7_19
Autor:
Arturs Znotins, Guntis Barzdins
Publikováno v:
Baltic HLT
This paper presents LVBERT – the first publicly available monolingual language model pre-trained for Latvian. We show that LVBERT improves the state-of-the-art for three Latvian NLP tasks including Part-of-Speech tagging, Named Entity Recognition a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90fdbef504960f7aabf098637b9d8817
https://doi.org/10.3233/faia200610
https://doi.org/10.3233/faia200610
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030576714
DB&IS
DB&IS
While a lot of work exists on text or keyword extraction from videos, not a lot can be found on the exact problem of extracting continuous text from scrolling tickers. In this work a novel Tesseract OCR based pipeline is proposed for location and con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b404dce7b8df2121243cc75f4babeaa
https://doi.org/10.1007/978-3-030-57672-1_11
https://doi.org/10.1007/978-3-030-57672-1_11
Autor:
Karlis Cerans, Arturs Znotins, Uldis Lavrinovics, Sinty K. Mayer, Gunta Nespore-Berzkalne, Janis Barzdins, Edgars Celms, Oskars F. Barzdins, Didzis Gosko, Paulis Barzdins, Intars Students, Peteris Paikens, Guntis Barzdins, Mikus Grasmanis, Arturs Sprogis, Normunds Gruzitis
Publikováno v:
The Semantic Web: ESWC 2020 Satellite Events ISBN: 9783030623265
ESWC (Satellite Events)
ESWC (Satellite Events)
We present a new ontology language Pini and the PiniTree ontology editor supporting it. Despite Pini language bearing lot of similarities with RDF, UML class diagrams, Property Graphs and their frontends like Google Knowledge Graph and Protege, it is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df8f4d17a0ddda707e19c640fc3ec1ce
https://doi.org/10.1007/978-3-030-62327-2_6
https://doi.org/10.1007/978-3-030-62327-2_6
Autor:
Didzis Gosko, Gints Bernans, Guntis Barzdins, Edgars Celms, Paulis Barzdins, Uldis Lavrinovics
Publikováno v:
CoG
This paper briefly describes the top-scoring submission to the First TextWorld Problems: A Reinforcement and Language Learning Challenge. To alleviate the partial observability problem, characteristic to the TextWorld games, we split the Agent into t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::726426ff0a6e5b82f7e23f19629aa6ed
https://doi.org/10.1109/cig.2019.8848012
https://doi.org/10.1109/cig.2019.8848012
Autor:
David Nogueira, Didzis Gosko, Ulrich Germann, Sebastião Miranda, Guntis Barzdins, Renars Liepins
Publikováno v:
ACL (4)
Germann, U, Liepins, R, Barzdins, G, Gosko, D, Miranda, S & Nogueira, D 2018, The SUMMA Platform : A Scalable Infrastructure for Multi-lingual Multi-media Monitoring . in Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics : Demo Session . Melbourne, Australia, pp. 99-104, 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Australia, 15/07/18 . < http://aclweb.org/anthology/P18-4017 >
Germann, U, Liepins, R, Barzdins, G, Gosko, D, Miranda, S & Nogueira, D 2018, The SUMMA Platform : A Scalable Infrastructure for Multi-lingual Multi-media Monitoring . in Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics : Demo Session . Melbourne, Australia, pp. 99-104, 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Australia, 15/07/18 . < http://aclweb.org/anthology/P18-4017 >
The open-source SUMMA Platform is a highly scalable distributed architecture for monitoring a large number of media broadcasts in parallel, with a lag behind actual broadcast time of at most a few minutes. The Platform offers a fully automated media
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1a008dcf4eb5587b9c7a9059793bb17
Integrating Multiple NLP Technologies into an Open-source Platform for Multilingual Media Monitoring
Publikováno v:
Proceedings of Workshop for NLP Open Source Software (NLP-OSS).
The open-source SUMMA Platform is a highly scalable distributed architecture for monitoring a large number of media broadcasts in parallel, with a lag behind actual broadcast time of at most a few minutes. It assembles numerous state-of-the-art NLP t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1212789213c154f99f3ff26409db0837
https://doi.org/10.18653/v1/w18-2508
https://doi.org/10.18653/v1/w18-2508