Accurate Supervised and Semi-Supervised Machine Reading for Long Documents

no code implementations • EMNLP 2017 • Daniel Hewlett, Llion Jones, Alex Lacoste, re, Izzeddin Gur

We also evaluate the model in a semi-supervised setting by downsampling the WikiReading training set to create increasingly smaller amounts of supervision, while leaving the full unlabeled document corpus to train a sequence autoencoder on document windows.

Question Answering Reading Comprehension

Coarse-to-Fine Question Answering for Long Documents

no code implementations • ACL 2017 • Eunsol Choi, Daniel Hewlett, Jakob Uszkoreit, Illia Polosukhin, Alex Lacoste, re, Jonathan Berant

We present a framework for question answering that can efficiently scale to longer documents while maintaining or even improving performance of state-of-the-art models.

Question Answering Reading Comprehension +1