Headshot of
Nicholas FitzGerald Nicholas

I am a Research Scientist at Google, NYC working on Natural Language Processing.

Previously, I was a Ph.D student in Computer Science and Engineering at the University of Washington. My advisor was Luke Zettlemoyer.

Before that, I was an undergraduate at the University of British Columbia, where I received a Bachelor of Science in Cognitive Systems. During that time, I worked with Giuseppe Carenini and the Summarization Group on abstractive summarization techniques in a variety of domains, including conversations and blogs.


  1. Matching the Blanks: Distributional Similarity for Relation Learning

    Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, Tom Kwiatkowski

    Association of Computational Linguistics (ACL 2019)

  2. Large-Scale QA-SRL Parsing

    Nicholas FitzGerald, Julian Michael, Luheng He, Luke Zettlemoyer

    Association of Computational Linguistics (ACL 2018)

    Honourable Mention for Best Paper

  3. Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum

    Omer Levy, Kenton Lee, Nicholas FitzGerald, Luke Zettlemoyer

    Association of Computational Linguistics (ACL 2018)

  4. Semantic Role Labeling with Neural Network Factors

    Nicholas FitzGerald, Oscar Täckström, Kuzman Ganchev, and Dipanjan Das

    Empirical Methods in Natural Language Processing (EMNLP 2015)

  5. Learning Distributions over Logical Forms for Referring Expression Generation

    Nicholas FitzGerald, Yoav Artzi, Luke Zettlemoyer

    Empirical Methods in Natural Language Processing (EMNLP 2013).

  6. Semantic Parsing with Combinatory Categorial Grammars (Tutorial)

    Yoav Artzi, Nicholas FitzGerald, Luke Zettlemoyer

    Annual Meeting of the Association of Computational Linguistics (ACL 2013).

  7. A Joint Model of Language and Perception for Grounded Attribute Learning

    Cynthia Matuszek, Nicholas FitzGerald, Luke Zettlemoyer, Liefeng Bo, Dieter Fox.

    Proceedings of the 2012 International Conference on Machine Learning (ICML 2012).

  8. Interactive Learning and its Role in Pervasive Robotics

    Cynthia Matuszek, Nicholas FitzGerald, Evan Herbst, Dieter Fox.

    ICRA 2012 Workshop on the Future of HRI.

  9. MolClass: a web portal to interrogate diverse small molecule screen datasets with different computational models

    Jan Wildenhain, Nicholas FitzGerald, Mike Tyers.

    Bioinformatics (2012).

  10. User-Adaptive Visualizations: Can Gaze Data Tell Us When a User Needs Them?

    Cristina Conati, Giuseppe Carenini, Mona Harati, Dereck Toker, Nicholas FitzGerald, Anna Flagg.

    AAAI-11 Workshop on Scalable Integration of Analytics and Visualization.

  11. Exploiting Conversational Features to Detect High-Quality Blog Comments

    Nicholas FitzGerald, Giuseppe Carenini, Gabriel Murray, Shafiq Joty.

    Canadian Conference on Artificial Intelligence 2011.

  12. ASSESS: Abstractive Summarization System for Evaluative Statement Summarization

    Nicholas FitzGerald, Giuseppe Carenini, Raymond Ng.

    North-West Natural Language Processing Workshop 2010.