9 citations · 18 across the 3 of their papers we have counts for
4 papers
Effective Inference for Generative Neural Parsing
Mitchell Stern, Daniel Fried, Dan Klein
Generative neural models have recently achieved state-of-the-art results for constituency parsing. However, without a feasible search procedure, their use has so far been limited t…
Improving Neural Parsing by Disentangling Model Combination and Reranking Effects
Daniel Fried, Mitchell Stern, Dan Klein
Recent work has proposed several generative neural models for constituency parsing that achieve state-of-the-art results. Since direct search in these generative models is difficul…
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…
Maps of Computer Science
Daniel Fried, Stephen G. Kobourov
We describe a practical approach for visual exploration of research papers. Specifically, we use the titles of papers from the DBLP database to create what we call maps of computer…