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20192026
most citedAbstractive Summarization with Combination of Pre-trained Sequence-to-Sequence and Saliency Models

30 citations · 97 across the 15 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.CL2021★ 6 cited

Towards Interpretable and Reliable Reading Comprehension: A Pipeline Model with Unanswerability Prediction

Kosuke Nishida, Kyosuke Nishida, Itsumi Saito +1

Multi-hop QA with annotated supporting facts, which is the task of reading comprehension (RC) considering the interpretability of the answer, has been extensively studied. In this…

cs.CL2021

Task-adaptive Pre-training of Language Models with Word Embedding Regularization

Kosuke Nishida, Kyosuke Nishida, Sen Yoshida

Pre-trained language models (PTLMs) acquire domain-independent linguistic knowledge through pre-training with massive textual resources. Additional pre-training is effective in ada…