Aaron Traylor
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Seq2Seq models with dropout can learn generalizable reduplication
B Prickett, A Traylor, J Pater
Proceedings of the fifteenth workshop on computational research in phonetics†…, 2018
Optimal transport-based alignment of learned character representations for string similarity
D Tam, N Monath, A Kobren, A Traylor, R Das, A McCallum
arXiv preprint arXiv:1907.10165, 2019
Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema.
HS Chang, A Munir, A Liu, JTZ Wei, A Traylor, A Nagesh, N Monath, ...
TAC, 2016
Sampo: Unsupervised knowledge base construction for opinions and implications
N Bhutani, A Traylor, C Chen, X Wang, B Golshan, WC Tan
Automated Knowledge Base Construction, 2020
Learning Reduplication with a Neural Network without Explicit Variables
P Brandon, A Traylor, J Pater
AND does not mean OR: Using Formal Languages to Study Language Models’ Representations
A Traylor, R Feiman, E Pavlick
Proceedings of the 59th Annual Meeting of the Association for Computational†…, 2021
Learning String Alignments for Entity Aliases.
A Traylor, N Monath, R Das, A McCallum
AKBC@ NIPS, 2017
Enhancing review comprehension with domain-specific commonsense
A Traylor, C Chen, B Golshan, X Wang, Y Li, Y Suhara, J Li, C Demiralp, ...
arXiv preprint arXiv:2004.03020, 2020
Learning reduplication with a neural network that lacks explicit variables
B Prickett, A Traylor, J Pater
Journal of Language Modelling 10 (1), 1–38-1–38, 2022
Systems and methods for enhanced review comprehension using domain-specific knowledgebases
Y Suhara, B Golshan, Y Li, C Chen, X Wang, J Li, WC Tan, « Demiralp, ...
US Patent App. 17/008,572, 2022
Transferring Representations of Logical Connectives
A Traylor, E Pavlick, R Feiman
Proceedings of the 1st and 2nd Workshops on Natural Logic Meets Machine†…, 2021
[Re] Better transfer learning with inferred successor maps
M Slivinski, A Jaskir, A Traylor
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