Search Results for author: Jared ez

Found 3 papers, 1 papers with code

CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense

1 code implementation WS 2019 Michael Chen, Mike D{'}Arcy, Alisa Liu, Fern, Jared ez, Doug Downey

To produce a more difficult dataset, we introduce a novel procedure for question acquisition in which workers author questions designed to target weaknesses of state-of-the-art neural question answering systems.

Common Sense Reasoning Question Answering +1

Sampling Informative Training Data for RNN Language Models

no code implementations ACL 2018 Fern, Jared ez, Doug Downey

We propose an unsupervised importance sampling approach to selecting training data for recurrent neural network (RNNs) language models.

Language Modelling

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