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Found 3 papers, 1 papers with code
Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations
Much of this prior work focuses on training convolutional neural networks to classify images of two same or two different abstract shapes, testing generalization on within-distribution stimuli.
NEWTS: A Corpus for News Topic-Focused Summarization
Text summarization models are approaching human levels of fidelity.
A Novel Corpus of Discourse Structure in Humans and Computers
We present a novel corpus of 445 human- and computer-generated documents, comprising about 27, 000 clauses, annotated for semantic clause types and coherence relations that allow for nuanced comparison of artificial and natural discourse modes.
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