Haw-Shiuan Chang

Orcid: 0000-0003-4607-936X

According to our database¹, Haw-Shiuan Chang authored at least 29 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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On csauthors.net:

Bibliography

2024

To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders.

[BibT_eX]

[DOI]

Haw-Shiuan Chang

Nikhil Agarwal

Andrew McCallum

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

Encoding Multi-Domain Scientific Papers by Ensembling Multiple CLS Tokens.

[BibT_eX]

[DOI]

Ronald Seoh

Haw-Shiuan Chang

Andrew McCallum

CoRR, 2023

Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Augmenting Scientific Creativity with Retrieval across Knowledge Domains.

[BibT_eX]

[DOI]

CoRR, 2022

Unsupervised Partial Sentence Matching for Cited Text Identification.

[BibT_eX]

[DOI]

Proceedings of the Third Workshop on Scholarly Document Processing, 2022

Softmax Bottleneck Makes Language Models Unable to Represent Multi-mode Word Distributions.

[BibT_eX]

[DOI]

Haw-Shiuan Chang

Andrew McCallum

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Open Aspect Target Sentiment Classification with Natural Language Prompts.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Multi-facet Universal Schema.

[BibT_eX]

[DOI]

Rohan Paul

Haw-Shiuan Chang

Andrew McCallum

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Changing the Mind of Transformers for Topically-Controllable Language Generation.

[BibT_eX]

[DOI]

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications.

[BibT_eX]

[DOI]

Haw-Shiuan Chang

Amol Agrawal

Andrew McCallum

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Using error decay prediction to overcome practical issues of deep active learning for named entity recognition.

[BibT_eX]

[DOI]

Mach. Learn., 2020

Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks.

[BibT_eX]

[DOI]

Edward Kim

Zach Jensen

Alexander van Grootel

J. Chem. Inf. Model., 2020

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

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

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

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

Proceedings of the 13th Linguistic Annotation Workshop, 2019

2018

Active Learning for Crowdsourced QoE Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2018

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

[BibT_eX]

[DOI]

Proceedings of the Twelfth Workshop on Graph-Based Methods for Natural Language Processing, 2018

Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017

Automatically Extracting Action Graphs from Materials Science Synthesis Procedures.

[BibT_eX]

[DOI]

CoRR, 2017

Unsupervised Hypernym Detection by Distributional Inclusion Vector Embedding.

[BibT_eX]

[DOI]

CoRR, 2017

Active Bias: Training a More Accurate Neural Network by Emphasizing High Variance Samples.

[BibT_eX]

[DOI]

Haw-Shiuan Chang

Erik G. Learned-Miller

Andrew McCallum

CoRR, 2017

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

[BibT_eX]

[DOI]

Haw-Shiuan Chang

Erik G. Learned-Miller

Andrew McCallum

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema.

[BibT_eX]

[DOI]

Haw-Shiuan Chang

Abdurrahman Munir

Ao Liu

Johnny Tian-Zheng Wei

Proceedings of the 2016 Text Analysis Conference, 2016

2015

Optimizing the decomposition for multiple foreground cosegmentation.

[BibT_eX]

[DOI]

Haw-Shiuan Chang

Yu-Chiang Frank Wang

Comput. Vis. Image Underst., 2015

Modeling Exercise Relationships in E-Learning: A Unified Approach.

[BibT_eX]

[DOI]

Haw-Shiuan Chang

Hwai-Jung Hsu

Kuan-Ta Chen

Proceedings of the 8th International Conference on Educational Data Mining, 2015

2014

Simple-to-Complex Discriminative Clustering for Hierarchical Image Segmentation.

[BibT_eX]

[DOI]

Haw-Shiuan Chang

Yu-Chiang Frank Wang

Proceedings of the Computer Vision - ACCV 2014, 2014

2013

Exploring Visual and Motion Saliency for Automatic Video Object Extraction.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2013

Superpixel-based large displacement optical flow.

[BibT_eX]

[DOI]

Haw-Shiuan Chang

Yu-Chiang Frank Wang

Proceedings of the IEEE International Conference on Image Processing, 2013

Haw-Shiuan Chang

Timeline

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On csauthors.net:

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