Nicholas FitzGerald
Nicholas FitzGerald
Senior Research Scientist, Google
Verified email at - Homepage
Cited by
Cited by
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
Matching the blanks: Distributional similarity for relation learning
LB Soares, N FitzGerald, J Ling, T Kwiatkowski
arXiv preprint arXiv:1906.03158, 2019
A Joint Model of Language and Perception for Grounded Attribute Learning
C Matuszek, N FitzGerald, L Zettlemoyer, L Bo, D Fox
International Conference on Machine Learning, 2012
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
Semantic Role Labeling with Neural Network Factors
N FitzGerald, O Täckström, K Ganchev, D Das
Proceedings of the Conference on Empirical Methods in Natural Language …, 2015
Entities as experts: Sparse memory access with entity supervision
T Févry, LB Soares, N FitzGerald, E Choi, T Kwiatkowski
arXiv preprint arXiv:2004.07202, 2020
Large-Scale QA-SRL Parsing
N FitzGerald, J Michael, L He, L Zettlemoyer
Association of Computational Linguistics, 2018
Learning Distributions over Logical Forms for Referring Expression Generation
N FitzGerald, Y Artzi, L Zettlemoyer
Empirical Methods in Natural Language Processing, 2013
Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum
O Levy, K Lee, N FitzGerald, L Zettlemoyer
Association of Computational Lingustics, 2018
Mention memory: incorporating textual knowledge into transformers through entity mention attention
M De Jong, Y Zemlyanskiy, N FitzGerald, F Sha, W Cohen
arXiv preprint arXiv:2110.06176, 2021
Semantic Parsing with Combinatory Categorial Grammars
Y Artzi, N FitzGerald, L Zettlemoyer
The Annual Meeting of the Association of Computational Linguistics, 2013
Empirical evaluation of pretraining strategies for supervised entity linking
T Févry, N FitzGerald, LB Soares, T Kwiatkowski
arXiv preprint arXiv:2005.14253, 2020
Learning cross-context entity representations from text
J Ling, N FitzGerald, Z Shan, LB Soares, T Févry, D Weiss, T Kwiatkowski
arXiv preprint arXiv:2001.03765, 2020
Fido: Fusion-in-decoder optimized for stronger performance and faster inference
M de Jong, Y Zemlyanskiy, J Ainslie, N FitzGerald, S Sanghai, F Sha, ...
arXiv preprint arXiv:2212.08153, 2022
Exploiting conversational features to detect high-quality blog comments
N FitzGerald, G Carenini, G Murray, S Joty
Advances in Artificial Intelligence: 24th Canadian Conference on Artificial …, 2011
MOLEMAN: mention-only linking of entities with a mention annotation network
N FitzGerald, JA Botha, D Gillick, DM Bikel, T Kwiatkowski, A McCallum
ACL 2021, 2021
MolClass: a web portal to interrogate diverse small molecule screen datasets with different computational models
J Wildenhain, N FitzGerald, M Tyers
Bioinformatics 28 (16), 2200-2201, 2012
User-adaptive visualizations: can gaze data tell us when a user needs them?
C Conati, G Carenini, M Harati, D Tocker, N Fitzgerald, A Flagg
Workshops at the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute
M De Jong, Y Zemlyanskiy, N FitzGerald, J Ainslie, S Sanghai, F Sha, ...
International Conference on Machine Learning, 7329-7342, 2023
Interactive Learning and its Role in Pervasive Robotics
C Matuszek, D Fox, N FitzGerald, E Herbst
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