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Scalable Bottom-Up Hierarchical Clustering

Oct 22, 2020
Nicholas Monath, Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gokhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu


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Clustering-based Inference for Zero-Shot Biomedical Entity Linking

Oct 21, 2020
Rico Angell, Nicholas Monath, Sunil Mohan, Nishant Yadav, Andrew McCallum


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Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion

Oct 09, 2020
Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum


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Compact Representation of Uncertainty in Hierarchical Clustering

Feb 26, 2020
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Ji-Ah Lee, Patrick Flaherty, Kyle Cranmer, Andrew McGregor, Andrew McCallum

* 21 pages, 5 figures 

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Scalable Hierarchical Clustering with Tree Grafting

Dec 31, 2019
Nicholas Monath, Ari Kobren, Akshay Krishnamurthy, Michael Glass, Andrew McCallum

* 23 pages (appendix included), published at KDD 2019 

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Optimal Transport-based Alignment of Learned Character Representations for String Similarity

Jul 23, 2019
Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum

* ACL Long Paper 

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Supervised Hierarchical Clustering with Exponential Linkage

Jun 19, 2019
Nishant Yadav, Ari Kobren, Nicholas Monath, Andrew McCallum

* Appears in ICML 2019 

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Play Duration based User-Entity Affinity Modeling in Spoken Dialog System

Jun 29, 2018
Bo Xiao, Nicholas Monath, Shankar Ananthakrishnan, Abishek Ravi

* Interspeech 2018 

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An Online Hierarchical Algorithm for Extreme Clustering

Apr 06, 2017
Ari Kobren, Nicholas Monath, Akshay Krishnamurthy, Andrew McCallum

* 20 pages. Code available here: https://github.com/iesl/xcluster 

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