Assistant Professor
Department of Computer Science
Vassar College
Teaching
Publications and Presentations
- Do Nuclear Submarines Have Nuclear Captains? A Challenge Dataset for Commonsense Reasoning over Adjectives and Objects
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J. Mullenbach, J. Gordon, N. Peng, and J. May
Proceedings of EMNLP-IJCNLP, 2019
- Advancing the International Data Science Workforce Through Shared Training and Education
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J. Van Horn, S. Abe, J. L. Ambite, T. K. Attwood, N. Beard, L. Bellis, A. Bhattrai, A. Bui, G. Burns, L. Fierro, J. Gordon, J. Grethe, J. Kamdar, X. Lei, K. Lerman, A. McGrath, N. Mulder, C. O’Driscoll, C. Stewart, and S. Tyagi
F1000Research, 2019
- BD2K Training Coordinating Center’s ERuDIte: the Educational Resource Discovery Index for Data Science
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J. L. Ambite, L. Fierro, J. Gordon, G. Burns, F. Geigl, K. Lerman, and J. Van Horn
IEEE Transactions on Emerging Topics in Computing (TETC), 2019
- Finding Prerequisite Relations using the Wikipedia Clickstream
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M. Sayyadiharikandeh, J. Gordon, J. L. Ambite, and K. Lerman
Companion Proceedings of the World Wide Web Conference (Wiki Workshop), 2019
- Linking Educational Resources on Data Science
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J. L. Ambite, J. Gordon, L. Fierro, G. Burns, and J. Mathew
Proceedings of the 31st Annual Conference on Innovative Applications of Artificial Intelligence (IAAI), 2019 [Data]
- Democratizing Data Science through Data Science Training
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J. Van Horn, L. Fierro, J. Kamdar, J. Gordon, C. Stewart, A. Bhattrai, S. Abe, X. Lei, C. O’Driscoll, A. Sinha, P. Jain, G. Burns, K. Lerman, and J. L. Ambite
Proceedings of the Pacific Symposium on Biocomputing, 2018
- Structured Generation of Technical Reading Lists
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J. Gordon, S. Aguilar, E. Sheng, and G. Burns
Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications (BEA), 2017 [Code]
- An Investigation into the Pedagogical Features of Documents
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E. Sheng, P. Natarajan, J. Gordon, and G. Burns
Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications (BEA), 2017 [Data]
- BD2K ERuDIte: the Educational Resource Discovery Index for Data Science
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J. L. Ambite, L. Fierro, F. Geigl, J. Gordon, G. Burns, K. Lerman, and J. D. Van Horn
Proceedings of the Fourth WWW Workshop on Big Scholarly Data: Towards the Web of Scholars (BigScholar), 2017
- Distribution and Inference
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J. R. Hobbs and J. Gordon
Presented at the ESSLLI Workshop on Distributional Semantics and Linguistic Theory (DSALT), 2016
- Modeling Concept Dependencies in a Scientific Corpus
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J. Gordon, L. Zhu, A. Galstyan, P. Natarajan, and G. Burns
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL), 2016 [Code] [Data]
- A Corpus of Rich Metaphor Annotation
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J. Gordon, J. R. Hobbs, J. May, M. Mohler, F. Morbini, B. Rink, M. Tomlinson, and S. Wertheim
Proceedings of the Third Workshop on Metaphor in NLP, 2015 [Data]
- High-Precision Abductive Mapping of Multilingual Metaphors
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J. Gordon, J. R. Hobbs, J. May, and F. Morbini
Proceedings of the Third Workshop on Metaphor in NLP, 2015 [Code]
- Inferential Commonsense Knowledge from Text
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J. Gordon
PhD Thesis, University of Rochester, 2014
- Reporting Bias and Knowledge Acquisition
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J. Gordon and B. Van Durme
Proceedings of the CIKM Workshop on Automated Knowledge Base Construction (AKBC), 2013 (Best Paper Award)
- WordNet Hierarchy Axiomatization and the Mass–Count Distinction
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J. Gordon and L. K. Schubert
Proceedings of the IEEE International Conference on Semantic Computing (ICSC), 2013
- Using Textual Patterns to Learn Expected Event Frequencies
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J. Gordon and L. K. Schubert
Proceedings of the NAACL Workshop on Automatic Knowledge Base Construction and Web-Scale Knowledge Extraction (AKBC-WEKEX), 2012
- Towards Adequate Knowledge and Natural Inference
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L. K. Schubert, J. Gordon, K. Stratos, and A. Rubinoff
Proceedings of the AAAI Fall Symposium on Advances in Cognitive Systems, 2011
- Episodic Logic: Natural Logic + Reasoning
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K. Stratos, L. K. Schubert, and J. Gordon
Proceedings of the International Conference on Knowledge Engineering and Ontology Development (KEOD), 2011
- Discovering Commonsense Entailment Rules Implicit in Sentences
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J. Gordon and L. K. Schubert
Proceedings of the EMNLP Workshop on Textual Entailment (TextInfer), 2011
- Quantificational Sharpening of Commonsense Knowledge
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J. Gordon and L. K. Schubert
Proceedings of the AAAI Fall Symposium on Commonsense Knowledge, 2010
- Learning from the Web: Extracting General World Knowledge from Noisy Text
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J. Gordon, B. Van Durme, and L. K. Schubert
Proceedings of the AAAI Workshop on Collaboratively-built Knowledge Sources and Artificial Intelligence (WikiAI), 2010
- Evaluation of Commonsense Knowledge with Mechanical Turk
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J. Gordon, B. Van Durme, and L. K. Schubert
Proceedings of the NAACL Workshop on Creating Speech and Language Data with Amazon’s Mechanical Turk, 2010
- Weblogs as a Source for Extracting General World Knowledge
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J. Gordon, B. Van Durme, and L. K. Schubert
Proceedings of the Fifth International Conference on Knowledge Capture (K-CAP), 2009
Code and Data
| Research lab | github.com/textproclab | Individual | github.com/jgordon |
Supervised Research
- Temporal Exploration of the Proceedings of Old Bailey
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C. J. Lambert
Senior thesis, 2020 [Code]
