activity
20172022
most citedAutomatically Extracting Action Graphs from Materials Science Synthesis Procedures

21 citations · 53 across the 6 of their papers we have counts for

collaborators

6 papers

cs.IR2022★ 7 cited

Augmenting Scientific Creativity with Retrieval across Knowledge Domains

Hyeonsu B. Kang, Sheshera Mysore, Kevin Huang +5

Exposure to ideas in domains outside a scientist's own may benefit her in reformulating existing research problems in novel ways and discovering new application domains for existin…

cs.NE2021★ 12 cited

Multiple regression techniques for modeling dates of first performances of Shakespeare-era plays

Pablo Moscato, Hugh Craig, Gabriel Egan +4

The date of the first performance of a play of Shakespeare's time must usually be guessed with reference to multiple indirect external sources, or to some aspect of the content or…

cs.CL2019★ 2 cited

The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures

Sheshera Mysore, Zach Jensen, Edward Kim +6

Materials science literature contains millions of materials synthesis procedures described in unstructured natural language text. Large-scale analysis of these synthesis procedures…

cond-mat.mtrl-sci2019★ 10 cited

Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks

Edward Kim, Zach Jensen, Alexander van Grootel +8

Leveraging new data sources is a key step in accelerating the pace of materials design and discovery. To complement the strides in synthesis planning driven by historical, experime…

cs.CV2018★ 1 cited

ParaNet - Using Dense Blocks for Early Inference

Joseph Chuang, Eric Tsai, Kevin Huang +1

DenseNets have been shown to be a competitive model among recent convolutional network architectures. These networks utilize Dense Blocks, which are groups of densely connected lay…

cs.CL2017★ 21 cited

Automatically Extracting Action Graphs from Materials Science Synthesis Procedures

Sheshera Mysore, Edward Kim, Emma Strubell +6

Computational synthesis planning approaches have achieved recent success in organic chemistry, where tabulated synthesis procedures are readily available for supervised learning. T…