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MedICaT: A Dataset of Medical Images, Captions, and Textual References
Understanding the relationship between figures and text is key to scient...
10/12/2020 ∙ by Sanjay Subramanian, et al. ∙
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Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering
Answering questions that involve multi-step reasoning requires decomposi...
07/01/2020 ∙ by Ben Bogin, et al. ∙
7
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Obtaining Faithful Interpretations from Compositional Neural Networks
Neural module networks (NMNs) are a popular approach for modeling compos...
05/02/2020 ∙ by Sanjay Subramanian, et al. ∙
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Evaluating NLP Models via Contrast Sets
Standard test sets for supervised learning evaluate in-distribution gene...
04/06/2020 ∙ by Matt Gardner, et al. ∙
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AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models
Neural NLP models are increasingly accurate but are imperfect and opaque...
09/19/2019 ∙ by Eric Wallace, et al. ∙
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An Improved Neural Baseline for Temporal Relation Extraction
Determining temporal relations (e.g., before or after) between events ha...
09/01/2019 ∙ by Qiang Ning, et al. ∙
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Correlation Clustering with Same-Cluster Queries Bounded by Optimal Cost
Several clustering frameworks with interactive (semi-supervised) queries...
08/14/2019 ∙ by Barna Saha, et al. ∙
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Improving Generalization in Coreference Resolution via Adversarial Training
In order for coreference resolution systems to be useful in practice, th...
08/13/2019 ∙ by Sanjay Subramanian, et al. ∙
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Named Person Coreference in English News
People are often entities of interest in tasks such as search and inform...
10/26/2018 ∙ by Oshin Agarwal, et al. ∙
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