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 (Scalable Integration of Analytics and Visualization, 2011)

Exploiting Conversational Features to Detect High-Quality Blog Comments. - Nicholas FitzGerald; Giuseppe Carenini; Gabriel Murray; Shafiq R. Joty (Canadian AI, 2011)

A Joint Model of Language and Perception for Grounded Attribute Learning. - Cynthia Matuszek; Nicholas FitzGerald; Luke Zettlemoyer; Liefeng Bo; Dieter Fox (ICML, 2012)

MolClass: a web portal to interrogate diverse small molecule screen datasets with different computational models. - Jan Wildenhain; Nicholas FitzGerald; Mike Tyers (Bioinform., 2012)

Semantic Parsing with Combinatory Categorial Grammars. - Yoav Artzi; Nicholas FitzGerald; Luke Zettlemoyer (ACL (Tutorial Abstracts), 2013)

Learning Distributions over Logical Forms for Referring Expression Generation. - Nicholas FitzGerald; Yoav Artzi; Luke Zettlemoyer (EMNLP, 2013)

Semantic Role Labeling with Neural Network Factors. - Nicholas FitzGerald; Oscar Täckström; Kuzman Ganchev; Dipanjan Das 001 (EMNLP, 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)

Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum. - Omer Levy; Kenton Lee; Nicholas FitzGerald; Luke Zettlemoyer (ACL (2), 2018)

Large-Scale QA-SRL Parsing. - Nicholas FitzGerald; Julian Michael; Luheng He; Luke Zettlemoyer (ACL (1), 2018)

Neural Models for Large-Scale Semantic Role Labelling. - Nicholas FitzGerald (2018)

Matching the Blanks: Distributional Similarity for Relation Learning. - Livio Baldini Soares; Nicholas FitzGerald; Jeffrey Ling; Tom Kwiatkowski (ACL (1), 2019)

Empirical Evaluation of Pretraining Strategies for Supervised Entity Linking. - Thibault Févry; Nicholas FitzGerald; Livio Baldini Soares; Tom Kwiatkowski (AKBC, 2020)

Entities as Experts: Sparse Memory Access with Entity Supervision. - Thibault Févry; Livio Baldini Soares; Nicholas FitzGerald; Eunsol Choi; Tom Kwiatkowski (EMNLP (1), 2020)

Learning Cross-Context Entity Representations from Text. - Jeffrey Ling; Nicholas FitzGerald; Zifei Shan; Livio Baldini Soares; Thibault Févry; David Weiss 001; Tom Kwiatkowski (CoRR, 2020)

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 (ACL/IJCNLP (2), 2021)

Mention Memory: incorporating textual knowledge into Transformers through entity mention attention. - Michiel de Jong; Yury Zemlyanskiy; Nicholas FitzGerald; Fei Sha; William W. Cohen (ICLR, 2022)

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 (ACL (Findings), 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 (ICML, 2023)

GLIMMER: generalized late-interaction memory reranker. - Michiel de Jong; Yury Zemlyanskiy; Nicholas FitzGerald; Sumit Sanghai; William W. Cohen; Joshua Ainslie (CoRR, 2023)

Wasm-Mutate: Fast and effective binary diversification for WebAssembly. - Javier Cabrera-Arteaga; Nicholas FitzGerald; Martin Monperrus; Benoit Baudry (Comput. Secur., 2024)