Joseph Z. Chang

Also published as: Joseph Chang, Joseph Z Chang


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PaperMage: A Unified Toolkit for Processing, Representing, and Manipulating Visually-Rich Scientific Documents
Kyle Lo | Zejiang Shen | Benjamin Newman | Joseph Chang | Russell Authur | Erin Bransom | Stefan Candra | Yoganand Chandrasekhar | Regan Huff | Bailey Kuehl | Amanpreet Singh | Chris Wilhelm | Angele Zamarron | Marti A. Hearst | Daniel Weld | Doug Downey | Luca Soldaini
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

Despite growing interest in applying natural language processing (NLP) and computer vision (CV) models to the scholarly domain, scientific documents remain challenging to work with. They’re often in difficult-to-use PDF formats, and the ecosystem of models to process them is fragmented and incomplete. We introduce PaperMage, an open-source Python toolkit for analyzing and processing visually-rich, structured scientific documents. PaperMage offers clean and intuitive abstractions for seamlessly representing and manipulating both textual and visual document elements. PaperMage achieves this by integrating disparate state-of-the-art NLP and CV models into a unified framework, and provides turn-key recipes for common scientific document processing use-cases. PaperMage has powered multiple research prototypes of AI applications over scientific documents, along with Semantic Scholar’s large-scale production system for processing millions of PDFs. GitHub:


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Learning to Find Translations and Transliterations on the Web based on Conditional Random Fields
Joseph Z. Chang | Jason S. Chang | Jyh-Shing Roger Jang
International Journal of Computational Linguistics & Chinese Language Processing, Volume 18, Number 1, March 2013


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Learning to Find Translations and Transliterations on the Web
Joseph Z. Chang | Jason S. Chang | Roger Jyh-Shing Jang
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

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Helping Our Own: NTHU NLPLAB System Description
Jian-Cheng Wu | Joseph Chang | Yi-Chun Chen | Shih-Ting Huang | Mei-Hua Chen | Jason S. Chang
Proceedings of the Seventh Workshop on Building Educational Applications Using NLP

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Word Root Finder: a Morphological Segmentor Based on CRF
Joseph Z Chang | Jason S. Chang
Proceedings of COLING 2012: Demonstration Papers


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Minimally Supervised Question Classification and Answering based on WordNet and Wikipedia
Joseph Chang | Tzu-Hsi Yen | Tzong-Han Tsai
Proceedings of the 21st Conference on Computational Linguistics and Speech Processing

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WikiSense: Supersense Tagging of Wikipedia Named Entities Based WordNet
Joseph Chang | Richard Tzong-Han Tsai | Jason S. Chang
Proceedings of the 23rd Pacific Asia Conference on Language, Information and Computation, Volume 1