Nicholas Monath
Title
Cited by
Cited by
Year
A hierarchical algorithm for extreme clustering
A Kobren, N Monath, A Krishnamurthy, A McCallum
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
512017
Building Knowledge Bases with Universal Schema: Cold Start and Slot-Filling Approaches.
B Roth, N Monath, D Belanger, E Strubell, P Verga, A McCallum
TAC, 2015
182015
Gradient-based hierarchical clustering using continuous representations of trees in hyperbolic space
N Monath, M Zaheer, D Silva, A McCallum, A Ahmed
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
102019
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
82016
Compression of optimal value functions for Markov decision processes
MJ Kochenderfer, N Monath
Data Compression Conference (DCC), 2013, 501-501, 2013
82013
Discriminative hierarchical coreference for inventor disambiguation
N Monath, A McCallum
PatentsView Inventor Disambiguation Technical Workshop, USPTO, Alexandria, VA, 2015
72015
Supervised hierarchical clustering with exponential linkage
N Yadav, A Kobren, N Monath, A McCallum
arXiv preprint arXiv:1906.07859, 2019
52019
Gradient-based Hierarchical Clustering
N Monath, A Kobren, A Krishnamurthy, A McCallum
NIPS Workshop on Discrete Structures in Machine Learning (DISCML), 2017
52017
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
42019
Scalable Hierarchical Clustering with Tree Grafting
N Monath, A Kobren, A Krishnamurthy, MR Glass, A McCallum
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
22019
Learning String Alignments for Entity Aliases
A Traylor, N Monath, R Das, A McCallum
NIPS Workshop on Automatic Knowledge Base Construction (AKBC), 2017
22017
Compact Representation of Uncertainty in Hierarchical Clustering
CS Greenberg, S Macaluso, N Monath, JA Lee, P Flaherty, K Cranmer, ...
arXiv preprint arXiv:2002.11661, 2020
12020
Integrating User Feedback under Identity Uncertainty in Knowledge Base Construction
A Kobren, N Monath, A McCallum
Automated Knowledge Base Construction (AKBC), 2019
12019
Compact representation of uncertainty in clustering
C Greenberg, N Monath, A Kobren, P Flaherty, A McGregor, A McCallum
Advances in Neural Information Processing Systems, 8630-8640, 2018
12018
Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion
R Das, A Godbole, N Monath, M Zaheer, A McCallum
arXiv preprint arXiv:2010.03548, 2020
2020
Using BibTeX to Automatically Generate Labeled Data for Citation Field Extraction
D Thai, Z Xu, N Monath, B Veytsman, A McCallum
arXiv preprint arXiv:2006.05563, 2020
2020
Play Duration based User-Entity Affinity Modeling in Spoken Dialog System
B Xiao, N Monath, S Ananthakrishnan, A Ravi
arXiv preprint arXiv:1806.11479, 2018
2018
Joint Probabilistic Reasoning About Coreference and Relations of Univeral Schema
A McCallum, N Monath
University of Massachusetts Amherst Hadley United States, 2017
2017
Entity-centric Attribute Feedback for Interactive Knowledge Bases.
A Kobren, N Monath, A McCallum
AKBC@ NIPS, 2017
2017
Predicting Institution Hierarchies with Set-based Models
D Tam, N Monath, A Kobren, A McCallum
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Articles 1–20