Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Balázs Indig"'
Publikováno v:
Journal of Computer Security. 30:499-515
Web archives store born-digital documents, which are usually collected from the Internet by crawlers and stored in the Web Archive (WARC) format. The trustworthiness and integrity of web archives is still an open challenge, especially in the news por
Autor:
Botond Szemes, Tímea Bajzát, Zsófia Fellegi, Péter Kundráth, Péter Horváth, Balázs Indig, Anna Dióssy, Fanni Hegedüs, Natali Pantyelejev, Sarolta Sziráki, Bence Vida, Balázs Kalmár, Gábor Palkó
Publikováno v:
Valós térben - Az online térért : Networkshop 31: országos konferencia. 2022. április 20–22. Debreceni Egyetem.
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030793173
STAST
STAST
Background. Web archives store born-digital documents, which are usually collected from the Internet by crawlers and stored in the Web Archive (WARC) format. The trustworthiness and integrity of web archives is still an open challenge, especially in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::898439acd339b92865b397e7b071a087
https://doi.org/10.1007/978-3-030-79318-0_7
https://doi.org/10.1007/978-3-030-79318-0_7
Publikováno v:
LAW@ACL
We present a more efficient version of the e-magyar NLP pipeline for Hungarian called emtsv. It integrates Hungarian NLP tools in a framework whose individual modules can be developed or replaced independently and allows new ones to be added. The des
Autor:
Balázs Indig, István Endrédy
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783319754765
CICLing (1)
CICLing (1)
The CoNLL-2000 dataset is the de-facto standard dataset for measuring chunkers on the task of chunking base noun phrases (NP) and arbitrary phrases. The state-of-the-art tagging method is utilising TnT, an HMM-based Part-of-Speech tagger (POS), with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::902d5daf6098b289f33cd8b7ad9a462d
https://doi.org/10.1007/978-3-319-75477-2_29
https://doi.org/10.1007/978-3-319-75477-2_29
Publikováno v:
Human Language Technology. Challenges for Computer Science and Linguistics ISBN: 9783319937816
LTC
LTC
This paper presents the process of enriching the verb frame database of a Hungarian natural language parser to enable the assignment of semantic roles. We accomplished this by linking the parser’s verb frame database to existing linguistic resource
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66bc86619bec5af42dce09495043000f
https://doi.org/10.1007/978-3-319-93782-3_14
https://doi.org/10.1007/978-3-319-93782-3_14
Publikováno v:
Text, Speech, and Dialogue ISBN: 9783030007935
TSD
TSD
This paper presents Manocska, a verb frame database for Hungarian. It is called unified as it was built by merging all available verb frame resources. To be able to merge these, we had to cope with their structural and conceptual differences. After t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94d3ed525d84d5e7270446528f1a935a
https://doi.org/10.1007/978-3-030-00794-2_14
https://doi.org/10.1007/978-3-030-00794-2_14
Autor:
Balázs Indig
Publikováno v:
Computación y Sistemas. 21
Lexicalization of the input of sequential taggers has gone a long way since it was invented by Molina and Pla [4]. In this paper we thoroughly investigate the method introduced by Indig and Endredy [2] to find out ´ the best lexicalization level for
Publikováno v:
Journal for Central European German Studies / Zeitschrift für Mitteleuropäische Germanistik; 2021, Vol. 7 Issue 1, p61-77, 17p
Publikováno v:
Theory and Practice of Natural Computing ISBN: 9783319490007
TPNC
TPNC
On the basis of the literature about human sentence processing we examined the parsing process from two aspects. With the help of a sentence-completion experiment we show that there is a strong relationship between the entropy of the words in the sen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c8ebc1a299462066b6368361760489e
https://doi.org/10.1007/978-3-319-49001-4_11
https://doi.org/10.1007/978-3-319-49001-4_11