Papers by Andrew Turpin

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Papers by Andrew Turpin

NAACL

2021.naacl-main

Computational approaches
classifiers
semi-supervised model
auto-encoding framework
learnt event and actor embeddings
article frame representation
automatic news analysis
document-level frame classification
frame prediction

2021

Responsible & Trustworthy NLP

1 papers

Framing Unpacked: A Semi-Supervised Interpretable Multi-View Model of Media Frames (2021.naacl-main)

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Shima Khanehzar, Trevor Cohn, Gosia Mikolajczak, Andrew Turpin, Lea Frermann

Responsible & Trustworthy NLP

Challenge:	Existing models for news analysis lack transparency in their predictions.
Approach:	They propose a semi-supervised model that embeds local information into news articles . it can be used to improve automatic news analysis, authors argue .
Outcome:	The proposed model outperforms previous models and can be used with unlabeled training data.

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