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Auxiliary-based extension of multi-tasking sequence-to-sequence model for chatbot answers by Palasundram, Kulothunkan

Published 2021
“…Experiment outcomes show that “SEQ2SEQ++” outexecutes the benchmark works on all assessment metrics used in this study. For the “BLEU” metric, “SEQ2SEQ++” performed 44.42% superior to “MTL-BC” on NarrativeQA and 17.31% superior to “MTL-BC” on SQuAD correspondingly. …”

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