Special Award at CoNLL 2018
Special award for the best paper on research inspired by human language learning and processing to Nora Hollenstein, and co-authors for "Sequence Classification with Human Attention".
The paper external pageSequence Classification with Human Attentioncall_made co-authored by Nora Hollenstein won the 'Special Award for the Best Paper on Research Inspired by Human Language Learning and Processing' at external pageCoNLL 2018call_made.
Abstract
Learning attention functions requires largevolumes of data, but many NLP tasks sim-ulate human behavior, and in this paper, weshow that human attention really does pro-vide a good inductive bias on many atten-tion functions in NLP. Specifically, we useestimated human attention derived from eye-tracking corpora to regularize attention func-tions in recurrent neural networks. We showsubstantial improvements across a range oftasks, including sentiment analysis, grammat-ical error detection, and detection of abusivelanguage.