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
662017
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
212019
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
192015
Discriminative hierarchical coreference for inventor disambiguation
N Monath, A McCallum
PatentsView Inventor Disambiguation Technical Workshop, USPTO, Alexandria …, 2015
102015
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
92019
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
92016
Compression of optimal value functions for Markov decision processes
MJ Kochenderfer, N Monath
2013 Data Compression Conference, 501-501, 2013
92013
Supervised hierarchical clustering with exponential linkage
N Yadav, A Kobren, N Monath, A McCallum
International Conference on Machine Learning, 6973-6983, 2019
82019
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
72019
Gradient-based Hierarchical Clustering
N Monath, A Kobren, A Krishnamurthy, A McCallum
NIPS Workshop on Discrete Structures in Machine Learning (DISCML), 2017
72017
Compact representation of uncertainty in clustering
C Greenberg, N Monath, A Kobren, P Flaherty, A McGregor, A McCallum
Advances in Neural Information Processing Systems 31: Annual Conference on …, 2018
42018
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
32020
Integrating User Feedback under Identity Uncertainty in Knowledge Base Construction
A Kobren, N Monath, A McCallum
Automated Knowledge Base Construction (AKBC), 2019
32019
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
22020
Learning String Alignments for Entity Aliases
A Traylor, N Monath, R Das, A McCallum
NIPS Workshop on Automatic Knowledge Base Construction (AKBC), 2017
22017
DAG-Structured Clustering by Nearest Neighbors
N Monath, M Zaheer, KA Dubey, A Ahmed, A McCallum
International Conference on Artificial Intelligence and Statistics, 2854-2862, 2021
12021
Scalable Bottom-Up Hierarchical Clustering
N Monath, A Dubey, G Guruganesh, M Zaheer, A Ahmed, A McCallum, ...
arXiv preprint arXiv:2010.11821, 2020
12020
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
12018
Exact and Approximate Hierarchical Clustering Using A
CS Greenberg, S Macaluso, N Monath, A Dubey, P Flaherty, M Zaheer, ...
arXiv preprint arXiv:2104.07061, 2021
2021
Cluster Trellis: Data Structures & Algorithms for Exact Inference in Hierarchical Clustering
S Macaluso, C Greenberg, N Monath, JA Lee, P Flaherty, K Cranmer, ...
International Conference on Artificial Intelligence and Statistics, 2467-2475, 2021
2021
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Articles 1–20