Matthew R. Gormley
Cho ruwächulew, kas tzij qˈuia u wäch ri quechˈaw wi ri winak, chquijujunal cˈut cˈo ri quel cubij ri qui tzij.

Ph.D. Candidate in Computer Science at Johns Hopkins University and Human Language Technologies Center of Excellence fellow.
Email: mrg at cs dot jhu dot edu
Office: Hackerman 321
Advisers: Jason Eisner, Mark Dredze

Research Interests

Natural language processing; Machine learning; Computational semantics; Global optimization; Topic modeling; Low-resource learning; Coreference resolution; Grammar induction.


I'm on the job market this year! Check out my C.V., research statement, and teaching statement.

  • Feb 15 - Our short paper on fine-grained relation extraction was accepted to NAACL 2015.
  • Feb. 15 - Our tutorial on Structured BP was accepted for re-presentation at ACL 2015 in Beijing, China.
  • Dec. 14 - I was invited to present a breakout session at MASC 2015.
  • Dec. 14 - Two of our papers will be presented at NIPS workshops (AKBC and Learning Semantics).
  • Sep. 14 - I received the Fred Jelinek fellowship for the 2014-2015 academic year.
  • Jun. 14 - The latest slides for our tutorial on Structured Belief Propagation for NLP are up.
  • Jun. 14 - Check out my new Software page, with pre-releases of Pacaya, Prim, and Optimize!



  • Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction.
    Mo Yu, Matthew R. Gormley, and Mark Dredze.
    NAACL. 2015.
  • Factor-based Compositional Embedding Models.
    Mo Yu, Matthew R. Gormley, and Mark Dredze.
    The NIPS 2014 Learning Semantics Workshop. 2014.
    [paper] [bibtex] [code]
  • Concretely Annotated Corpora.
    Francis Ferraro, Max Thomas, Matthew R. Gormley, Travis Wolfe, Craig Harman, and Benjamin Van Durme.
    The NIPS 2014 AKBC Workshop. 2014.
    [paper] [bibtex]
  • Low-Resource Semantic Role Labeling.
    Matthew R. Gormley, Margaret Mitchell, Benjamin Van Durme, Mark Dredze.
    ACL. 2014.
    [paper] [bibtex] [slides (CLSP seminar)] [code (coming soon)]
  • Nonconvex Global Optimization for Latent-Variable Models.
    Matthew R. Gormley, Jason Eisner.
    ACL. 2013.
    [paper] [bibtex] [slides (ACL)] [slides (CLSP seminar)]
  • Topic Models and Metadata for Visualizing Text Corpora.
    Justin Snyder, Rebecca Knowles, Mark Dredze, Matthew R. Gormley, Travis Wolfe.
    NAACL (Demo Paper). 2013.
    [paper] [bibtex]
  • Shared Components Topic Models.
    Matthew R. Gormley, Mark Dredze, Benjamin Van Durme, Jason Eisner.
    NAACL. 2012.
    [paper] [bibtex] [slides]
  • Annotated Gigaword.
    Courtney Napoles, Matthew Gormley, Benjamin Van Durme.
    AKBC-WEKEX workshop at NAACL. 2012.
    [paper] [bibtex] [code]
  • Entity Clustering Across Languages.
    Spence Green, Nicholas Andrews, Matthew R. Gormley, Mark Dredze, Christopher D. Manning.
    NAACL. 2012.
    [paper] [bibtex]
  • Shared Components Topic Models with Application to Selectional Preference.
    Matthew R. Gormley, Mark Dredze, Benjamin Van Durme, Jason Eisner.
    Learning Semantics Workshop at NIPS. 2011.
    [extended abstract] [bibtex]
  • Cross-lingual Coreference Resolution: A New Task for Multilingual Comparable Corpora.
    Spence Green, Nicholas Andrews, Matthew R. Gormley, Mark Dredze, Christopher D. Manning.
    Technical Report 6. HLTCOE, Johns Hopkins University. 2011.
    [paper] [bibtex]
  • Non-Expert Correction of Automatically Generated Relation Annotations.
    Matthew R. Gormley, Adam Gerber, Mary Harper, Mark Dredze.
    Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk.
    [paper] [bibtex] [code+data]


Spring 2014: 600.475 Machine Learning, guest-lectures on HMMs/CRFs/loopy belief propagation.
Spring 2013: 600.476 Machine Learning in Complex Domains (Graphical Models), TA.
Spring 2012: 600.103 Fundamentals of Practical Computing, co-instructor.
Fall 2011/2012: 600.475 Machine Learning, guest-lecture on topic modeling.


Reviewer (Natural Language Processing): TACL 2014, EMNLP 2014, ACL 2014, TACL 2013, ACL 2012, IJCNLP 2011, EMNLP 2011.
Reviewer (Machine Learning): IEEE TPAMI 2014, AISTATS 2012, NESCAI 2010.
Entertainment Chair, ACL 2014.
Organizing committee member, JHU NACLO (North American Computational Linguistics Olympiad), 2011-2013.


Ph.D. Candidate, Johns Hopkins University, 2009 - present.
M.S. in Computer Science, Johns Hopkins University, 2009 - 2011.
B.S. in Computer Science with a double major in Cognitive Science, Carnegie Mellon University, 2003 - 2006.

Work Experience

Google, Software Engineering Intern, Summer 2012.
Endeca Technologies, Software developer, 2007-2009.
Microsoft's Speech and Natural Language Group, Intern, Summer 2006.
Scone Knowledge Base Group at CMU, Research assistant for Scott Fahlman, 2005-2007.