Text-to-Ontology Mapping via Natural Language Processing Models

Number of the records: 1

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014		$a 85139875540 $2 SCOPUS
017		$2 DOI
100		$a 20221227d m y slo 03 ba
101		$a eng
102		$a DE
200	1-	$a Text-to-Ontology Mapping via Natural Language Processing Models
215		$a 7 s. $c E
463	-1	$1 001 cav_un_epca0565959 $1 011* $a 1613-0073 $1 200 1 $a Proceedings of the 22st Conference Information Technologies – Applications and Theory (ITAT 2022) $v S. 28-34 $1 210 $a Aachen $c Technical University & CreateSpace Independent Publishing $d 2022 $1 702 1 $a Ciencialová $b L. $4 340 $1 702 1 $a Holeňa $b M. $4 340 $1 702 1 $a Jajcay $b R. $4 340 $1 702 1 $a Jajcayová $b R. $4 340 $1 702 1 $a Mráz $b F. $4 340 $1 702 1 $a Pardubská $b D. $4 340 $1 702 1 $a Plátek $b M. $4 340
610		$a text analysis
610		$a language models
610		$a fastText
610		$a BERT
610		$a matching text to ontologies
700	-1	$3 cav_un_auth*0441976 $a Yorsh $b U. $y CZ
701	-1	$3 cav_un_auth*0441977 $a Behr $b A. S. $y DE
701	-1	$3 cav_un_auth*0441978 $a Kockmann $b N. $y DE
701	-1	$3 cav_un_auth*0100761 $a Holeňa $b Martin $p UIVT-O $i Oddělení strojového učení $j Department of Machine Learning $w Department of Machine Learning $T Ústav informatiky AV ČR, v. v. i.
856		$u https://ceur-ws.org/Vol-3226/paper3.pdf $9 RIV

Number of the records: 1