Nicholas Monath

发表

Compact Representation of Uncertainty in Hierarchical Clustering pdf

Andrew McCallum, Kyle Cranmer, Craig S. Greenberg, 2020, ArXiv.

An Online Hierarchical Algorithm for Extreme Clustering pdf

Akshay Krishnamurthy, Andrew McCallum, Ari Kobren, 2017, ArXiv.

Predicting Institution Hierarchies with Set-based Models

Andrew McCallum, Ari Kobren, Nicholas Monath, 2020, AKBC.

A Hierarchical Algorithm for Extreme Clustering

Akshay Krishnamurthy, Andrew McCallum, Ari Kobren, 2017, KDD.

Clustering-based Inference for Zero-Shot Biomedical Entity Linking pdf

Rico Angell, Nicholas Monath, Andrew McCallum, 2020, ArXiv.

Supervised Hierarchical Clustering with Exponential Linkage

Andrew McCallum, Ari Kobren, Nicholas Monath, 2019, ICML.

Joint Probabilistic Reasoning About Coreference and Relations of Univeral Schema

Andrew McCallum, Nicholas Monath, 2017 .

Integrating User Feedback under Identity Uncertainty in Knowledge Base Construction

Andrew McCallum, Ari Kobren, Nicholas Monath, 2019, AKBC.

Learning String Alignments for Entity Aliases

Rajarshi Das, Andrew McCallum, Nicholas Monath, 2017, AKBC@NIPS.

Compact Representation of Uncertainty in Clustering

Andrew McCallum, Ari Kobren, Andrew McGregor, 2018, NeurIPS.

Using BibTeX to Automatically Generate Labeled Data for Citation Field Extraction pdf

Andrew McCallum, Nicholas Monath, Boris Veytsman, 2020, AKBC.

Data Structures & Algorithms for Exact Inference in Hierarchical Clustering.

Andrew McGregor, Andrew McCallum, Kyle Cranmer, 2020 .

Probabilistic Case-based Reasoning in Knowledge Bases pdf

Manzil Zaheer, Nicholas Monath, Andrew McCallum, 2020, FINDINGS.

Entity-centric Attribute Feedback for Interactive Knowledge Bases

Andrew McCallum, Ari Kobren, Nicholas Monath, 2017, AKBC@NIPS.

Building Knowledge Bases with Universal Schema: Cold Start and Slot-Filling Approaches

Andrew McCallum, Benjamin Roth, David Belanger, 2015, TAC.

Shape and Color Features for the Recognition of Roadside Objects

Nicholas Monath, 2013 .

Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema

Andrew McCallum, Ajay Nagesh, Emma Strubell, 2016, TAC.

Compression of Optimal Value Functions for Markov Decision Processes

Mykel J. Kochenderfer, Nicholas Monath, Nicholas Monath, 2013, 2013 Data Compression Conference.

Scalable Bottom-Up Hierarchical Clustering pdf

Yuan Wang, Marc Najork, Amr Ahmed, 2020, ArXiv.

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

Rajarshi Das, Andrew McCallum, Ari Kobren, 2019, ACL.

Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space

Andrew McCallum, Amr Ahmed, Manzil Zaheer, 2019, KDD.

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

Bo Xiao, Nicholas Monath, Shankar Ananthakrishnan, 2018, INTERSPEECH.

Scalable Hierarchical Clustering with Tree Grafting

Akshay Krishnamurthy, Andrew McCallum, Ari Kobren, 2019, KDD.

Model-Agnostic Graph Regularization for Few-Shot Learning pdf

Jure Leskovec, Manzil Zaheer, Nicholas Monath, 2021, ArXiv.

Scalable Hierarchical Agglomerative Clustering

Andrew McCallum, Yuan Wang, Marc Najork, 2021, KDD.

Exact and Approximate Hierarchical Clustering Using A

Andrew McCallum, Amr Ahmed, Manzil Zaheer, 2021, UAI.

DAG-Structured Clustering by Nearest Neighbors

Andrew McCallum, Amr Ahmed, Manzil Zaheer, 2021, AISTATS.

Clustering-based Inference for Biomedical Entity Linking

Andrew McCallum, Rico Angell, Nicholas Monath, 2020, NAACL.

CS 691 CL-Computational Linguistics : Syntax and Semantics Final Project Report Document Similarity Measures Utilizing Syntactics and Semantics as well as Embeddings

Nicholas Monath, Klim Zaporojets, Nicholas Monath, 2014 .

Gradient-based Hierarchical Clustering

Akshay Krishnamurthy, Andrew McCallum, Ari Kobren, 2017 .

Scalable Bottom-Up Hierarchical Clustering pdf

Andrew McCallum, Yuan Wang, Marc Najork, 2020, ArXiv.