Jonathan Gordon

Visiting Assistant Professor
Department of Computer Science
Vassar College

Office hours

Monday 3:30–5:00 p.m. SP 306
Friday 1:00–2:30 p.m. Zoom

And by appointment.

Teaching

Research

My research interests are broadly in artificial intelligence and computational linguistics. In my research, I use natural language processing to identify knowledge implicit in large collections of text, and I apply this knowledge to build innovative applications. I extract commonsense knowledge for machines to understand language and reason about the world, and I infer scientific conceptual structure to guide learners.

  • Lore: a system for learning inferential commonsense knowledge from text, including a browseable online knowledge base.
  • Big Data U

Code and Data

Research lab github.com/textproclab
Individual github.com/jgordon

Publications and Presentations

Do Nuclear Submarines Have Nuclear Captains? A Challenge Dataset for Commonsense Reasoning over Adjectives and Objects

James Mullenbach, Jonathan Gordon, Nanyun Peng, and Jonathan May

Proceedings of EMNLP-IJCNLP, 2019

Advancing the International Data Science Workforce Through Shared Training and Education

John Van Horn, Sumiko Abe, José Luis Ambite, Teresa K. Attwood, Niall Beard, Louisa Bellis, Avnish Bhattrai, Alex Bui, Gully Burns, Lily Fierro, Jonathan Gordon, Jeffrey Grethe, Jeana Kamdar, Xiaoyu Lei, Kristina Lerman, Annette McGrath, Nicola Mulder, Caroline O’Driscoll, Crystal Stewart, and Sonika Tyagi

F1000Research, 2019

BD2K Training Coordinating Center’s ERuDIte: the Educational Resource Discovery Index for Data Science

José Luis Ambite, Lily Fierro, Jonathan Gordon, Gully Burns, Florian Geigl, Kristina Lerman, and John Van Horn

IEEE Transactions on Emerging Topics in Computing (TETC), 2019

Finding Prerequisite Relations using the Wikipedia Clickstream

Mohsen Sayyadiharikandeh, Jonathan Gordon, José Luis Ambite, and Kristina Lerman

Companion Proceedings of the World Wide Web Conference (Wiki Workshop), 2019

Linking Educational Resources on Data Science

José Luis Ambite, Jonathan Gordon, Lily Fierro, Gully Burns, and Joel Mathew

Proceedings of the 31st Annual Conference on Innovative Applications of Artificial Intelligence (IAAI), 2019 [Data]

Democratizing Data Science through Data Science Training

John Van Horn, Lily Fierro, Jeana Kamdar, Jonathan Gordon, Crystal Stewart, Avnish Bhattrai, Sumiko Abe, Xiaoxiao Lei, Caroline O’Driscoll, Aakanchha Sinha, Priyambada Jain, Gully Burns, Kristina Lerman, and José Luis Ambite

Proceedings of the Pacific Symposium on Biocomputing, 2018

Structured Generation of Technical Reading Lists

Jonathan Gordon, Stephen Aguilar, Emily Sheng, and Gully 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

Emily Sheng, Prem Natarajan, Jonathan Gordon, and Gully 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

José Luis Ambite, Lily Fierro, Florian Geigl, Jonathan Gordon, Gully Burns, Kristina Lerman, and John D. Van Horn

Proceedings of the Fourth WWW Workshop on Big Scholarly Data: Towards the Web of Scholars (BigScholar), 2017

Distribution and Inference

Jerry R. Hobbs and Jonathan Gordon

Presented at the ESSLLI Workshop on Distributional Semantics and Linguistic Theory (DSALT), 2016

Modeling Concept Dependencies in a Scientific Corpus

Jonathan Gordon, Linhong Zhu, Aram Galstyan, Prem Natarajan, and Gully Burns

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL), 2016 [Code] [Data]

A Corpus of Rich Metaphor Annotation

Jonathan Gordon, Jerry R. Hobbs, Jonathan May, Michael Mohler, Fabrizio Morbini, Bryan Rink, Marc Tomlinson, and Suzanne Wertheim

Proceedings of the Third Workshop on Metaphor in NLP, 2015 [Data]

High-Precision Abductive Mapping of Multilingual Metaphors

Jonathan Gordon, Jerry R. Hobbs, Jonathan May, and Fabrizio Morbini

Proceedings of the Third Workshop on Metaphor in NLP, 2015 [Code]

Inferential Commonsense Knowledge from Text

Jonathan Gordon

PhD Thesis, University of Rochester, 2014

Reporting Bias and Knowledge Acquisition

Jonathan Gordon and Benjamin 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

Jonathan Gordon and Lenhart Schubert

Proceedings of the IEEE International Conference on Semantic Computing (ICSC), 2013

Using Textual Patterns to Learn Expected Event Frequencies

Jonathan Gordon and Lenhart 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

Lenhart Schubert, Jonathan Gordon, Karl Stratos, and Adina Rubinoff

Proceedings of the AAAI Fall Symposium on Advances in Cognitive Systems, 2011

Episodic Logic: Natural Logic + Reasoning

Karl Stratos, Lenhart Schubert, and Jonathan Gordon

Proceedings of the International Conference on Knowledge Engineering and Ontology Development (KEOD), 2011

Discovering Commonsense Entailment Rules Implicit in Sentences

Jonathan Gordon and Lenhart Schubert

Proceedings of the EMNLP Workshop on Textual Entailment (TextInfer), 2011

Quantificational Sharpening of Commonsense Knowledge

Jonathan Gordon and Lenhart Schubert

Proceedings of the AAAI Fall Symposium on Commonsense Knowledge, 2010

Learning from the Web: Extracting General World Knowledge from Noisy Text

Jonathan Gordon, Benjamin Van Durme, and Lenhart Schubert

Proceedings of the AAAI Workshop on Collaboratively-built Knowledge Sources and Artificial Intelligence (WikiAI), 2010

Evaluation of Commonsense Knowledge with Mechanical Turk

Jonathan Gordon, Benjamin Van Durme, and Lenhart 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

Jonathan Gordon, Benjamin Van Durme, and Lenhart Schubert

Proceedings of the Fifth International Conference on Knowledge Capture (K-CAP), 2009

Supervised Research

Temporal Exploration of the Proceedings of Old Bailey

Charlotte Lambert

Senior thesis, 2020 [Code]