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1 Ergebnisse
1
Adaptable Closed-Domain Question Answering Using Contextual..:
Kia, Mahsa Abazari
;
Garifullina, Aygul
;
Kern, Mathias
..
http://repository.essex.ac.uk/32814/1/Adaptable_Closed-Domain_Question_Answering_Using_Contextualized_CNN-Attention_Models_and_Question_Expansion.pdf. , 2022
Link:
http://repository.essex.ac.uk/32814/
RT Journal T1 <Title>Adaptable Closed-Domain Question Answering Using Contextualized CNN-Attention Models and Question Expansion</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftunivessex:oai:repository.essex.ac.uk:32814&Exemplar=1&LAN=DE A1 Kia, Mahsa Abazari A1 Garifullina, Aygul A1 Kern, Mathias A1 Chamberlain, Jon A1 Jameel, Shoaib PB Institute of Electrical and Electronics Engineers (IEEE) YR 2022 JF http://repository.essex.ac.uk/32814/1/Adaptable_Closed-Domain_Question_Answering_Using_Contextualized_CNN-Attention_Models_and_Question_Expansion.pdf LK http://repository.essex.ac.uk/32814/ DO http://repository.essex.ac.uk/32814/ SF ELIB - SuUB Bremen
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