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AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types

Jun 24, 2020
Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han

* KDD 2020 

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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

* Accepted as a long paper at the Linguistic Annotation Workshop (LAW) at ACL 2019 

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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

* TextGraphs 2018: the Workshop on Graph-based Methods for Natural Language Processing 

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Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection

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

* NAACL 2018 

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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

* camera-ready version for NIPS 2017 

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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

* NIPS Workshop on Machine Learning for Molecules and Materials 

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