2 citations · 3 across the 3 of their papers we have counts for
11 papers
CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation
Abhilasha Ravichander, Matt Gardner, Ana Marasović
The full power of human language-based communication cannot be realized without negation. All human languages have some form of negation. Despite this, negation remains a challengi…
Does Self-Rationalization Improve Robustness to Spurious Correlations?
Alexis Ross, Matthew E. Peters, Ana Marasović
Rationalization is fundamental to human reasoning and learning. NLP models trained to produce rationales along with predictions, called self-rationalization models, have been inves…
Effective Attention Sheds Light On Interpretability
Kaiser Sun, Ana Marasović
An attention matrix of a transformer self-attention sublayer can provably be decomposed into two components and only one of them (effective attention) contributes to the model outp…
Promoting Graph Awareness in Linearized Graph-to-Text Generation
Alexander Hoyle, Ana Marasović, Noah Smith
Generating text from structured inputs, such as meaning representations or RDF triples, has often involved the use of specialized graph-encoding neural networks. However, recent ap…
Explaining NLP Models via Minimal Contrastive Editing (MiCE)
Alexis Ross, Ana Marasović, Matthew E. Peters
Humans have been shown to give contrastive explanations, which explain why an observed event happened rather than some other counterfactual event (the contrast case). Despite the i…
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs
Ana Marasović, Chandra Bhagavatula, Jae Sung Park +3
Natural language rationales could provide intuitive, higher-level explanations that are easily understandable by humans, complementing the more broadly studied lower-level explanat…