Haw-Shiuan Chang

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 36

Top Topics

Semantic Structures

Word Sense Induction

Trained Neural Networks

Top Venues

Publications

Haw-Shiuan Chang, Nanyun Peng, Mohit Bansal, Anil Ramakrishna, Tagyoung Chung
REAL Sampling: Boosting Factuality and Diversity of Open-Ended Generation via Asymptotic Entropy. CoRR (2024)
Haw-Shiuan Chang, Nikhil Agarwal, Andrew McCallum
To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders. WSDM (2024)
Ronald Seoh, Haw-Shiuan Chang, Andrew McCallum
Encoding Multi-Domain Scientific Papers by Ensembling Multiple CLS Tokens. CoRR (2023)
Haw-Shiuan Chang, Ruei-Yao Sun, Kathryn Ricci, Andrew McCallum
Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling. ACL (1) (2023)
Haw-Shiuan Chang, Zonghai Yao, Alolika Gon, Hong Yu, Andrew McCallum
Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond. ACL (Findings) (2023)
Haw-Shiuan Chang, Nikhil Agarwal, Andrew McCallum
To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders. CoRR (2023)
Haw-Shiuan Chang, Zonghai Yao, Alolika Gon, Hong Yu, Andrew McCallum
Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond. CoRR (2023)
Kathryn Ricci, Haw-Shiuan Chang, Purujit Goyal, Andrew McCallum
Unsupervised Partial Sentence Matching for Cited Text Identification. SDP@COLING (2022)
Hyeonsu B. Kang, Sheshera Mysore, Kevin Huang, Haw-Shiuan Chang, Thorben Prein, Andrew McCallum, Aniket Kittur, Elsa Olivetti
Augmenting Scientific Creativity with Retrieval across Knowledge Domains. CoRR (2022)
Haw-Shiuan Chang, Andrew McCallum
Softmax Bottleneck Makes Language Models Unable to Represent Multi-mode Word Distributions. ACL (1) (2022)
Haw-Shiuan Chang, Ruei-Yao Sun, Kathryn Ricci, Andrew McCallum
Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling. CoRR (2022)
Haw-Shiuan Chang, Amol Agrawal, Andrew McCallum
Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications. AAAI (2021)
Ronald Seoh, Ian Birle, Mrinal Tak, Haw-Shiuan Chang, Brian Pinette, Alfred Hough
Open Aspect Target Sentiment Classification with Natural Language Prompts. EMNLP (1) (2021)
Rohan Paul, Haw-Shiuan Chang, Andrew McCallum
Multi-facet Universal Schema. EACL (2021)
Haw-Shiuan Chang, Amol Agrawal, Andrew McCallum
Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications. CoRR (2021)
Rohan Paul, Haw-Shiuan Chang, Andrew McCallum
Multi-facet Universal Schema. CoRR (2021)
Ronald Seoh, Ian Birle, Mrinal Tak, Haw-Shiuan Chang, Brian Pinette, Alfred Hough
Open Aspect Target Sentiment Classification with Natural Language Prompts. CoRR (2021)
Haw-Shiuan Chang, Jiaming Yuan, Mohit Iyyer, Andrew McCallum
Changing the Mind of Transformers for Topically-Controllable Language Generation. CoRR (2021)
Haw-Shiuan Chang, Jiaming Yuan, Mohit Iyyer, Andrew McCallum
Changing the Mind of Transformers for Topically-Controllable Language Generation. EACL (2021)
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
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. KDD (2020)
Haw-Shiuan Chang, Shankar Vembu, Sunil Mohan, Rheeya Uppaal, Andrew McCallum
Using error decay prediction to overcome practical issues of deep active learning for named entity recognition. Mach. Learn. 109 (9-10) (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
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. CoRR (2020)
Edward Kim, Zach Jensen, Alexander van Grootel, Kevin Huang, Matthew Staib, Sheshera Mysore, Haw-Shiuan Chang, Emma Strubell, Andrew McCallum, Stefanie Jegelka, Elsa Olivetti
Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks. J. Chem. Inf. Model. 60 (3) (2020)
Sheshera Mysore, Zach Jensen, Edward Kim, Kevin Huang, Haw-Shiuan Chang, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, Elsa Olivetti
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures. CoRR (2019)
Haw-Shiuan Chang, Shankar Vembu, Sunil Mohan, Rheeya Uppaal, Andrew McCallum
Overcoming Practical Issues of Deep Active Learning and its Applications on Named Entity Recognition. CoRR (2019)
Sheshera Mysore, Zach Jensen, Edward Kim, Kevin Huang, Haw-Shiuan Chang, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, Elsa Olivetti
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures. LAW@ACL (2019)
Edward Kim, Zach Jensen, Alexander van Grootel, Kevin Huang, Matthew Staib, Sheshera Mysore, Haw-Shiuan Chang, Emma Strubell, Andrew McCallum, Stefanie Jegelka, Elsa Olivetti
Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks. CoRR (2019)
Haw-Shiuan Chang, Chih-Fan Hsu, Tobias Hoßfeld, Kuan-Ta Chen
Active Learning for Crowdsourced QoE Modeling. IEEE Trans. Multim. 20 (12) (2018)
Haw-Shiuan Chang, Amol Agrawal, Ananya Ganesh, Anirudha Desai, Vinayak Mathur, Alfred Hough, Andrew McCallum
Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings. TextGraphs@NAACL-HLT (2018)
Haw-Shiuan Chang, Amol Agrawal, Ananya Ganesh, Anirudha Desai, Vinayak Mathur, Alfred Hough, Andrew McCallum
Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings. CoRR (2018)
Haw-Shiuan Chang, ZiYun Wang, Luke Vilnis, Andrew McCallum
Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection. NAACL-HLT (2018)
Sheshera Mysore, Edward Kim, Emma Strubell, Ao Liu, Haw-Shiuan Chang, Srikrishna Kompella, Kevin Huang, Andrew McCallum, Elsa Olivetti
Automatically Extracting Action Graphs from Materials Science Synthesis Procedures. CoRR (2017)
Haw-Shiuan Chang, ZiYun Wang, Luke Vilnis, Andrew McCallum
Unsupervised Hypernym Detection by Distributional Inclusion Vector Embedding. CoRR (2017)
Haw-Shiuan Chang, Erik G. Learned-Miller, Andrew McCallum
Active Bias: Training a More Accurate Neural Network by Emphasizing High Variance Samples. CoRR (2017)
Haw-Shiuan Chang, Erik G. Learned-Miller, Andrew McCallum
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples. NIPS (2017)
Haw-Shiuan Chang, Abdurrahman Munir, Ao Liu, Johnny Tian-Zheng Wei, Aaron Traylor, Ajay Nagesh, Nicholas Monath, Patrick Verga, Emma Strubell, Andrew McCallum
Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema. TAC (2016)
Haw-Shiuan Chang, Yu-Chiang Frank Wang
Optimizing the decomposition for multiple foreground cosegmentation. Comput. Vis. Image Underst. 141 (2015)
Haw-Shiuan Chang, Hwai-Jung Hsu, Kuan-Ta Chen
Modeling Exercise Relationships in E-Learning: A Unified Approach. EDM (2015)
Haw-Shiuan Chang, Yu-Chiang Frank Wang
Simple-to-Complex Discriminative Clustering for Hierarchical Image Segmentation. ACCV (3) (2014)
Haw-Shiuan Chang, Yu-Chiang Frank Wang
Superpixel-based large displacement optical flow. ICIP (2013)
Wei-Te Li, Haw-Shiuan Chang, Kuo-Chin Lien, Hui-Tang Chang, Yu-Chiang Frank Wang
Exploring Visual and Motion Saliency for Automatic Video Object Extraction. IEEE Trans. Image Process. 22 (7) (2013)