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Neural Speed Reading via Skim-RNN
Minjoon Seo, Sewon Min, Ali Farhadi +1
Inspired by the principles of speed reading, we introduce Skim-RNN, a recurrent neural network (RNN) that dynamically decides to update only a small fraction of the hidden state fo…
Zero-Shot Relation Extraction via Reading Comprehension
Omer Levy, Minjoon Seo, Eunsol Choi +1
We show that relation extraction can be reduced to answering simple reading comprehension questions, by associating one or more natural-language questions with each relation slot.…
Question Answering through Transfer Learning from Large Fine-grained Supervision Data
Sewon Min, Minjoon Seo, Hannaneh Hajishirzi
We show that the task of question answering (QA) can significantly benefit from the transfer learning of models trained on a different large, fine-grained QA dataset. We achieve th…