86 citations · 89 across the 3 of their papers we have counts for
5 papers
SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction
Marco A. Valenzuela-Escarcega, Gus Hahn-Powell, Dane Bell +1
We propose an approach for biomedical information extraction that marries the advantages of machine learning models, e.g., learning directly from data, with the benefits of rule-ba…
This before That: Causal Precedence in the Biomedical Domain
Gus Hahn-Powell, Dane Bell, Marco A. Valenzuela-Escárcega +1
Causal precedence between biochemical interactions is crucial in the biomedical domain, because it transforms collections of individual interactions, e.g., bindings and phosphoryla…
Towards using social media to identify individuals at risk for preventable chronic illness
Dane Bell, Daniel Fried, Luwen Huangfu +2
We describe a strategy for the acquisition of training data necessary to build a social-media-driven early detection system for individuals at risk for (preventable) type 2 diabete…
Sieve-based Coreference Resolution in the Biomedical Domain
Dane Bell, Gus Hahn-Powell, Marco A. Valenzuela-Escárcega +1
We describe challenges and advantages unique to coreference resolution in the biomedical domain, and a sieve-based architecture that leverages domain knowledge for both entity and…
Analyzing the Language of Food on Social Media
Daniel Fried, Mihai Surdeanu, Stephen Kobourov +2
We investigate the predictive power behind the language of food on social media. We collect a corpus of over three million food-related posts from Twitter and demonstrate that many…