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Haw-Shiuan Chang

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Overcoming Practical Issues of Deep Active Learning and its Applications on Named Entity Recognition

Nov 17, 2019
Haw-Shiuan Chang, Shankar Vembu, Sunil Mohan, Rheeya Uppaal, Andrew McCallum

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

May 16, 2019
Sheshera Mysore, Zach Jensen, Edward Kim, Kevin Huang, Haw-Shiuan Chang, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, Elsa Olivetti

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Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks

Dec 31, 2018
Edward Kim, Zach Jensen, Alexander van Grootel, Kevin Huang, Matthew Staib, Sheshera Mysore, Haw-Shiuan Chang, Emma Strubell, Andrew McCallum, Stefanie Jegelka, Elsa Olivetti

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Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings

May 29, 2018
Haw-Shiuan Chang, Amol Agrawal, Ananya Ganesh, Anirudha Desai, Vinayak Mathur, Alfred Hough, Andrew McCallum

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Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection

May 29, 2018
Haw-Shiuan Chang, ZiYun Wang, Luke Vilnis, Andrew McCallum

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Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples

Jan 06, 2018
Haw-Shiuan Chang, Erik Learned-Miller, Andrew McCallum

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Automatically Extracting Action Graphs from Materials Science Synthesis Procedures

Nov 28, 2017
Sheshera Mysore, Edward Kim, Emma Strubell, Ao Liu, Haw-Shiuan Chang, Srikrishna Kompella, Kevin Huang, Andrew McCallum, Elsa Olivetti

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