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Casper Hansen

2 accepted papers

2021

Automatic Fake News Detection: Are Models Learning to Reason?

ACL 2021short

Most fact checking models for automatic fake news detection are based on reasoning: given a claim with associated evidence, the models aim to estimate the claim veracity based on the supporting or refuting content within the evidence. When these models perform well, it is generally assumed to be due…

2019

Neural Speed Reading with Structural-Jump-LSTM

ICLR 2019poster

Recurrent neural networks (RNNs) can model natural language by sequentially ''reading'' input tokens and outputting a distributed representation of each token. Due to the sequential nature of RNNs, inference time is linearly dependent on the input length, and all inputs are read regardless of their…