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QUASER : Question Answering with Scalable Extractive Rat..:
, In:
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
,
Ghoshal, Asish
;
Iyer, Srinivasan
;
Paranjape, Bhargavi
... - p. 1208-1218 , 2022
Link:
https://dl.acm.org/doi/10.1145/3477495.3532049
RT T1
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
: T1
QUASER : Question Answering with Scalable Extractive Rationalization
UL https://suche.suub.uni-bremen.de/peid=acm-3532049&Exemplar=1&LAN=DE A1 Ghoshal, Asish A1 Iyer, Srinivasan A1 Paranjape, Bhargavi A1 Lakhotia, Kushal A1 Yih, Scott Wen-tau A1 Mehdad, Yashar PB ACM YR 2022 K1 explainability K1 question answering K1 robustness K1 Information systems K1 Information retrieval K1 Retrieval tasks and goals K1 Question answering SP 1208 OP 1218 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3477495.3532049 DO https://dl.acm.org/doi/10.1145/3477495.3532049 SF ELIB - SuUB Bremen
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