Nicholas FitzGerald
Nicholas FitzGerald is a Research Scientist at Google, working on semantic representations of language. He received a Ph.D. in 2018 from the Paul G. Allen School of Computer Science & Engineering at the University of Washington. Before that, he completed an undergraduate degree in Cognitive Systems (Computational Intelligence and Design) at the University of British Columbia. His work on large-scale QA-SRL parsing received an honourable mention for best paper at ACL 2018.
See his personal webpage for more information.
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Google
Mention Memory: incorporating textual knowledge into Transformers through entity mention attention
Michiel de Jong
Yury Zemlyanskiy
10th International Conference on Learning Representations, ICLR 2022, Virtual Conference , April 25-29, 2022, OpenReview.net
MOLEMAN: Mention-Only Linking of Entities with a Mention Annotation Network
Jan A. Botha
Dan Bikel
Andrew McCallum
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), Association for Computational Linguistics, Online (2021), pp. 278-285
Entities as Experts: Sparse Memory Access with Entity Supervision
Thibault Févry
Eunsol Choi
EMNLP 2020 - Conference on Empirical Methods in Natural Language Processing (to appear)
Empirical Evaluation of Pretraining Strategies for Supervised Entity Linking
Thibault Févry
AKBC 2020 - Automated Knowledge Base Construction
Learning Cross-Context Entity Representations from Text
Jeffrey Ling
Zifei Shan
Thibault Févry
arXiv (2020)
Matching the Blanks: Distributional Similarity for Relation Learning
Jeffrey Ling
ACL 2019 - The 57th Annual Meeting of the Association for Computational Linguistics (2019) (to appear)
Semantic Role Labeling with Neural Network Factors
Oscar Täckström
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP '15), Association for Computational Linguistics
