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1 Ergebnisse
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POTATO: exPlainable infOrmation exTrAcTion framewOrk:
, In:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management
,
Kovács, Ádám
;
Gémes, Kinga
;
Iklódi, Eszter
. - p. 4897-4901 , 2022
Link:
https://dl.acm.org/doi/10.1145/3511808.3557196
RT T1 <cTitle>Proceedings of the 31st ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>POTATO: exPlainable infOrmation exTrAcTion framewOrk</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3557196&Exemplar=1&LAN=DE A1 Kovács, Ádám A1 Gémes, Kinga A1 Iklódi, Eszter A1 Recski, Gábor PB ACM YR 2022 K1 explainability K1 explainable K1 hitl K1 Computing methodologies K1 Artificial intelligence K1 Natural language processing K1 Information extraction K1 Machine learning K1 Machine learning approaches K1 Rule learning SP 4897 OP 4901 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3511808.3557196 DO https://dl.acm.org/doi/10.1145/3511808.3557196 SF ELIB - SuUB Bremen
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