Nicholas FitzGerald

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 22

Top Topics

Semantic Role Labeling

Top Venues

Publications

Javier Cabrera-Arteaga, Nicholas FitzGerald, Martin Monperrus, Benoit Baudry
Wasm-Mutate: Fast and effective binary diversification for WebAssembly. Comput. Secur. 139 (2024)
Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Joshua Ainslie, Sumit Sanghai, Fei Sha, William W. Cohen
Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute. ICML (2023)
Michiel de Jong, Yury Zemlyanskiy, Joshua Ainslie, Nicholas FitzGerald, Sumit Sanghai, Fei Sha, William W. Cohen
FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference. ACL (Findings) (2023)
Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Sumit Sanghai, William W. Cohen, Joshua Ainslie
GLIMMER: generalized late-interaction memory reranker. CoRR (2023)
Javier Cabrera-Arteaga, Nicholas FitzGerald, Martin Monperrus, Benoit Baudry
WASM-MUTATE: Fast and Effective Binary Diversification for WebAssembly. CoRR (2023)
Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Joshua Ainslie, Sumit Sanghai, Fei Sha, William Cohen
Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute. CoRR (2023)
Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Fei Sha, William W. Cohen
Mention Memory: incorporating textual knowledge into Transformers through entity mention attention. ICLR (2022)
Michiel de Jong, Yury Zemlyanskiy, Joshua Ainslie, Nicholas FitzGerald, Sumit Sanghai, Fei Sha, William Cohen
FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference. CoRR (2022)
Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Fei Sha, William Cohen
Mention Memory: incorporating textual knowledge into Transformers through entity mention attention. CoRR (2021)
Nicholas FitzGerald, Jan A. Botha, Daniel Gillick, Daniel M. Bikel, Tom Kwiatkowski, Andrew McCallum
MOLEMAN: Mention-Only Linking of Entities with a Mention Annotation Network. CoRR (2021)
Nicholas FitzGerald, Daniel M. Bikel, Jan A. Botha, Daniel Gillick, Tom Kwiatkowski, Andrew McCallum
MOLEMAN: Mention-Only Linking of Entities with a Mention Annotation Network. ACL/IJCNLP (2) (2021)
Jeffrey Ling, Nicholas FitzGerald, Zifei Shan, Livio Baldini Soares, Thibault Févry, David Weiss, Tom Kwiatkowski
Learning Cross-Context Entity Representations from Text. CoRR (2020)
Thibault Févry, Livio Baldini Soares, Nicholas FitzGerald, Eunsol Choi, Tom Kwiatkowski
Entities as Experts: Sparse Memory Access with Entity Supervision. EMNLP (1) (2020)
Thibault Févry, Livio Baldini Soares, Nicholas FitzGerald, Eunsol Choi, Tom Kwiatkowski
Entities as Experts: Sparse Memory Access with Entity Supervision. CoRR (2020)
Thibault Févry, Nicholas FitzGerald, Livio Baldini Soares, Tom Kwiatkowski
Empirical Evaluation of Pretraining Strategies for Supervised Entity Linking. CoRR (2020)
Thibault Févry, Nicholas FitzGerald, Livio Baldini Soares, Tom Kwiatkowski
Empirical Evaluation of Pretraining Strategies for Supervised Entity Linking. AKBC (2020)
Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, Tom Kwiatkowski
Matching the Blanks: Distributional Similarity for Relation Learning. CoRR (2019)
Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, Tom Kwiatkowski
Matching the Blanks: Distributional Similarity for Relation Learning. ACL (1) (2019)
Nicholas FitzGerald, Julian Michael, Luheng He, Luke Zettlemoyer
Large-Scale QA-SRL Parsing. CoRR (2018)
Nicholas FitzGerald, Julian Michael, Luheng He, Luke Zettlemoyer
Large-Scale QA-SRL Parsing. ACL (1) (2018)
Omer Levy, Kenton Lee, Nicholas FitzGerald, Luke Zettlemoyer
Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum. CoRR (2018)
Omer Levy, Kenton Lee, Nicholas FitzGerald, Luke Zettlemoyer
Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum. ACL (2) (2018)
Nicholas FitzGerald, Oscar Täckström, Kuzman Ganchev, Dipanjan Das
Semantic Role Labeling with Neural Network Factors. EMNLP (2015)
Kent Rosser, Karl Pavey, Nicholas FitzGerald, Anselm Fatiaki, Daniel Neumann, David Carr, Brian Hanlon, Javaan S. Chahl
Autonomous Chemical Vapour Detection by Micro UAV. Remote. Sens. 7 (12) (2015)
Yoav Artzi, Nicholas FitzGerald, Luke S. Zettlemoyer
Semantic Parsing with Combinatory Categorial Grammars. ACL (Tutorial Abstracts) (2013)
Nicholas FitzGerald, Yoav Artzi, Luke S. Zettlemoyer
Learning Distributions over Logical Forms for Referring Expression Generation. EMNLP (2013)
Jan Wildenhain, Nicholas FitzGerald, Mike Tyers
MolClass: a web portal to interrogate diverse small molecule screen datasets with different computational models. Bioinform. 28 (16) (2012)
Cynthia Matuszek, Nicholas FitzGerald, Luke S. Zettlemoyer, Liefeng Bo, Dieter Fox
A Joint Model of Language and Perception for Grounded Attribute Learning. ICML (2012)
Nicholas FitzGerald, Giuseppe Carenini, Gabriel Murray, Shafiq R. Joty
Exploiting Conversational Features to Detect High-Quality Blog Comments. Canadian Conference on AI (2011)
Cristina Conati, Giuseppe Carenini, Mona Harati, Dereck Toker, Nicholas FitzGerald, Anna Flagg
User-Adaptive Visualizations: Can Gaze Data Tell Us When a User Needs Them? Scalable Integration of Analytics and Visualization (2011)