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1 Ergebnisse
1
Exploring the Feasibility of Transformer Based Models on Qu..:
, In:
2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)
,
Shu, Honglin
;
Gao, Pei
;
Yang, Ziwei
.. - p. 831-838 , 2022
Link:
https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys57..
RT T1 <cTitle>2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)</cTitle>: T1 <Title>Exploring the Feasibility of Transformer Based Models on Question Relatedness</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10074888&Exemplar=1&LAN=DE A1 Shu, Honglin A1 Gao, Pei A1 Yang, Ziwei A1 Li, Chen A1 Wu, Man YR 2022 K1 Representation learning K1 Technological innovation K1 Smart cities K1 Source coding K1 Text categorization K1 Bit error rate K1 Statistical learning K1 Question Relatedness Prediction K1 Self-Attention K1 Transformer SP 831 OP 838 LK http://dx.doi.org/https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys57074.2022.00136 DO https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys57074.2022.00136 SF ELIB - SuUB Bremen
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