500 citations · 563 across the 14 of their papers we have counts for
32 papers · 1 filter
Intermediate Entity-based Sparse Interpretable Representation Learning
Diego Garcia-Olano, Yasumasa Onoe, Joydeep Ghosh +1
Interpretable entity representations (IERs) are sparse embeddings that are "human-readable" in that dimensions correspond to fine-grained entity types and values are predicted prob…
Influence Functions for Sequence Tagging Models
Sarthak Jain, Varun Manjunatha, Byron C. Wallace +1
Many language tasks (e.g., Named Entity Recognition, Part-of-Speech tagging, and Semantic Role Labeling) are naturally framed as sequence tagging problems. However, there has been…
PHEE: A Dataset for Pharmacovigilance Event Extraction from Text
Zhaoyue Sun, Jiazheng Li, Gabriele Pergola +5
The primary goal of drug safety researchers and regulators is to promptly identify adverse drug reactions. Doing so may in turn prevent or reduce the harm to patients and ultimatel…
Self-Repetition in Abstractive Neural Summarizers
Nikita Salkar, Thomas Trikalinos, Byron C. Wallace +1
We provide a quantitative and qualitative analysis of self-repetition in the output of neural summarizers. We measure self-repetition as the number of n-grams of length four or lon…
Evaluating Factuality in Text Simplification
Ashwin Devaraj, William Sheffield, Byron C. Wallace +1
Automated simplification models aim to make input texts more readable. Such methods have the potential to make complex information accessible to a wider audience, e.g., providing a…
What Would it Take to get Biomedical QA Systems into Practice?
Gregory Kell, Iain J. Marshall, Byron C. Wallace +1
Medical question answering (QA) systems have the potential to answer clinicians uncertainties about treatment and diagnosis on demand, informed by the latest evidence. However, des…