Nicholas FitzGerald

According to our database, Nicholas FitzGerald authored at least 21 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Wasm-Mutate: Fast and effective binary diversification for WebAssembly.

Javier Cabrera-Arteaga, Nicholas FitzGerald, Martin Monperrus, Benoit Baudry

Comput. Secur., 2024

2023

GLIMMER: generalized late-interaction memory reranker.

Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Sumit Sanghai, William W. Cohen, Joshua Ainslie

CoRR, 2023

Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute.

Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Joshua Ainslie, Sumit Sanghai, Fei Sha, William W. Cohen

Proceedings of the International Conference on Machine Learning, 2023

FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference.

Michiel de Jong, Yury Zemlyanskiy, Joshua Ainslie, Nicholas FitzGerald, Sumit Sanghai, Fei Sha, William W. Cohen

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Mention Memory: incorporating textual knowledge into Transformers through entity mention attention.

Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Fei Sha, William W. Cohen

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

MOLEMAN: Mention-Only Linking of Entities with a Mention Annotation Network.

Nicholas FitzGerald, Daniel M. Bikel, Jan A. Botha, Daniel Gillick, Tom Kwiatkowski, Andrew McCallum

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Learning Cross-Context Entity Representations from Text.

Jeffrey Ling, Nicholas FitzGerald, Zifei Shan, Livio Baldini Soares, Thibault Févry, David Weiss, Tom Kwiatkowski

CoRR, 2020

Entities as Experts: Sparse Memory Access with Entity Supervision.

Thibault Févry, Livio Baldini Soares, Nicholas FitzGerald, Eunsol Choi, Tom Kwiatkowski

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Empirical Evaluation of Pretraining Strategies for Supervised Entity Linking.

Thibault Févry, Nicholas FitzGerald, Livio Baldini Soares, Tom Kwiatkowski

Proceedings of the Conference on Automated Knowledge Base Construction, 2020

2019

Matching the Blanks: Distributional Similarity for Relation Learning.

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

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Neural Models for Large-Scale Semantic Role Labelling.

Nicholas FitzGerald

PhD thesis, 2018

Large-Scale QA-SRL Parsing.

Nicholas FitzGerald, Julian Michael, Luheng He, Luke Zettlemoyer

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

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

Omer Levy, Kenton Lee, Nicholas FitzGerald, Luke Zettlemoyer

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2015

Autonomous Chemical Vapour Detection by Micro UAV.

Kent Rosser, Karl Pavey, Nicholas FitzGerald, Anselm Fatiaki, Daniel Neumann, David Carr, Brian Hanlon, Javaan S. Chahl

Remote. Sens., 2015

Semantic Role Labeling with Neural Network Factors.

Nicholas FitzGerald, Oscar Täckström, Kuzman Ganchev, Dipanjan Das

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2013

Learning Distributions over Logical Forms for Referring Expression Generation.

Nicholas FitzGerald, Yoav Artzi, Luke Zettlemoyer

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Semantic Parsing with Combinatory Categorial Grammars.

Yoav Artzi, Nicholas FitzGerald, Luke Zettlemoyer

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

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

Jan Wildenhain, Nicholas FitzGerald, Mike Tyers

Bioinform., 2012

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

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

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Exploiting Conversational Features to Detect High-Quality Blog Comments.

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

Proceedings of the Advances in Artificial Intelligence, 2011

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

Proceedings of the Scalable Integration of Analytics and Visualization, 2011