Nicholas Monath

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 64

Top Topics

Hierarchical Clustering

Nearest Neighbor

Top Venues

EMNLP (Findings)

Publications

Raghuveer Thirukovalluru, Nicholas Monath, Bhuwan Dhingra, Sam Wiseman
Sequence Reducible Holdout Loss for Language Model Pretraining. LREC/COLING (2024)
Nishant Yadav, Nicholas Monath, Manzil Zaheer, Rob Fergus, Andrew McCallum
Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders. CoRR (2024)
Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests. ICLR (2024)
Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Manzil Zaheer, Andrew McCallum, Amr Ahmed, Snigdha Chaturvedi
Incremental Extractive Opinion Summarization Using Cover Trees. Trans. Mach. Learn. Res. 2024 (2024)
Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Manzil Zaheer, Andrew McCallum, Amr Ahmed, Snigdha Chaturvedi
Incremental Extractive Opinion Summarization Using Cover Trees. CoRR (2024)
Nishant Yadav, Nicholas Monath, Manzil Zaheer, Rob Fergus, Andrew McCallum
Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders. ICLR (2024)
Nicholas Monath, Manzil Zaheer, Kelsey Allen, Andrew McCallum
Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining. AISTATS (2023)
Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests. CoRR (2023)
Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
Robust Concept Erasure via Kernelized Rate-Distortion Maximization. CoRR (2023)
Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Dubey, Amr Ahmed, Snigdha Chaturvedi
Unsupervised Opinion Summarization Using Approximate Geodesics. EMNLP (Findings) (2023)
Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
Robust Concept Erasure via Kernelized Rate-Distortion Maximization. NeurIPS (2023)
Kumar Shridhar, Nicholas Monath, Raghuveer Thirukovalluru, Alessandro Stolfo, Manzil Zaheer, Andrew McCallum, Mrinmaya Sachan
Longtonotes: OntoNotes with Longer Coreference Chains. EACL (Findings) (2023)
Nishant Yadav, Nicholas Monath, Manzil Zaheer, Andrew McCallum
Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition. EMNLP (Findings) (2023)
Nicholas Monath, Manzil Zaheer, Kelsey Allen, Andrew McCallum
Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining. CoRR (2023)
Nishant Yadav, Nicholas Monath, Manzil Zaheer, Andrew McCallum
Adaptive Selection of Anchor Items for CUR-based k-NN search with Cross-Encoders. CoRR (2023)
Nicholas Monath, Manzil Zaheer, Andrew McCallum
Online Level-wise Hierarchical Clustering. KDD (2023)
Rico Angell, Nicholas Monath, Nishant Yadav, Andrew McCallum
Interactive Correlation Clustering with Existential Cluster Constraints. ICML (2022)
Nishant Yadav, Nicholas Monath, Rico Angell, Manzil Zaheer, Andrew McCallum
Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization. EMNLP (2022)
Archan Ray, Nicholas Monath, Andrew McCallum, Cameron Musco
Sublinear Time Approximation of Text Similarity Matrices. AAAI (2022)
Tianyu Liu, Yuchen Eleanor Jiang, Nicholas Monath, Ryan Cotterell, Mrinmaya Sachan
Autoregressive Structured Prediction with Language Models. EMNLP (Findings) (2022)
Dhruv Agarwal, Rico Angell, Nicholas Monath, Andrew McCallum
Entity Linking via Explicit Mention-Mention Coreference Modeling. NAACL-HLT (2022)
Kumar Shridhar, Nicholas Monath, Raghuveer Thirukovalluru, Alessandro Stolfo, Manzil Zaheer, Andrew McCallum, Mrinmaya Sachan
Longtonotes: OntoNotes with Longer Coreference Chains. CoRR (2022)
Tianyu Liu, Yuchen Jiang, Nicholas Monath, Ryan Cotterell, Mrinmaya Sachan
Autoregressive Structured Prediction with Language Models. CoRR (2022)
Nishant Yadav, Nicholas Monath, Rico Angell, Manzil Zaheer, Andrew McCallum
Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization. CoRR (2022)
Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
Unsupervised Opinion Summarization Using Approximate Geodesics. CoRR (2022)
Siddhartha Mishra, Nicholas Monath, Michael Boratko, Ariel Kobren, Andrew McCallum
An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity. AAAI (2022)
Sebastian Macaluso, Craig S. Greenberg, Nicholas Monath, Ji Ah Lee, Patrick Flaherty, Kyle Cranmer, Andrew McGregor, Andrew McCallum
Cluster Trellis: Data Structures & Algorithms for Exact Inference in Hierarchical Clustering. AISTATS (2021)
Sunil Mohan, Rico Angell, Nicholas Monath, Andrew McCallum
Low resource recognition and linking of biomedical concepts from a large ontology. BCB (2021)
Nicholas Monath, Kumar Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gökhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu
Scalable Hierarchical Agglomerative Clustering. KDD (2021)
Raghuveer Thirukovalluru, Mukund Sridhar, Dung Thai, Shruti Chanumolu, Nicholas Monath, Sankaranarayanan Ananthakrishnan, Andrew McCallum
Knowledge Informed Semantic Parsing for Conversational Question Answering. RepL4NLP@ACL-IJCNLP (2021)
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum
Exact and approximate hierarchical clustering using A. UAI (2021)
Rico Angell, Nicholas Monath, Sunil Mohan, Nishant Yadav, Andrew McCallum
Clustering-based Inference for Biomedical Entity Linking. NAACL-HLT (2021)
Dhruv Agarwal, Rico Angell, Nicholas Monath, Andrew McCallum
Entity Linking and Discovery via Arborescence-based Supervised Clustering. CoRR (2021)
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum
Exact and Approximate Hierarchical Clustering Using A. CoRR (2021)
Raghuveer Thirukovalluru, Nicholas Monath, Kumar Shridhar, Manzil Zaheer, Mrinmaya Sachan, Andrew McCallum
Scaling Within Document Coreference to Long Texts. ACL/IJCNLP (Findings) (2021)
Michael Boratko, Dongxu Zhang, Nicholas Monath, Luke Vilnis, Kenneth L. Clarkson, Andrew McCallum
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs. NeurIPS (2021)
Archan Ray, Nicholas Monath, Andrew McCallum, Cameron Musco
Sublinear Time Approximation of Text Similarity Matrices. CoRR (2021)
Ethan Shen, Maria Brbic, Nicholas Monath, Jiaqi Zhai, Manzil Zaheer, Jure Leskovec
Model-Agnostic Graph Regularization for Few-Shot Learning. CoRR (2021)
Nicholas Monath, Manzil Zaheer, Kumar Avinava Dubey, Amr Ahmed, Andrew McCallum
DAG-Structured Clustering by Nearest Neighbors. AISTATS (2021)
Sunil Mohan, Rico Angell, Nicholas Monath, Andrew McCallum
Low Resource Recognition and Linking of Biomedical Concepts from a Large Ontology. CoRR (2021)
Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum
Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion. CoRR (2020)
Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum
Probabilistic Case-based Reasoning in Knowledge Bases. EMNLP (Findings) (2020)
Rico Angell, Nicholas Monath, Sunil Mohan, Nishant Yadav, Andrew McCallum
Clustering-based Inference for Zero-Shot Biomedical Entity Linking. CoRR (2020)
Nicholas Monath, Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gökhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu
Scalable Bottom-Up Hierarchical Clustering. CoRR (2020)
Derek Tam, Nicholas Monath, Ari Kobren, Andrew McCallum
Predicting Institution Hierarchies with Set-based Models. AKBC (2020)
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Ji Ah Lee, Patrick Flaherty, Kyle Cranmer, Andrew McGregor, Andrew McCallum
Compact Representation of Uncertainty in Hierarchical Clustering. CoRR (2020)
Dung Thai, Zhiyang Xu, Nicholas Monath, Boris Veytsman, Andrew McCallum
Using BibTeX to Automatically Generate Labeled Data for Citation Field Extraction. CoRR (2020)
Dung Thai, Zhiyang Xu, Nicholas Monath, Boris Veytsman, Andrew McCallum
Using BibTeX to Automatically Generate Labeled Data for Citation Field Extraction. AKBC (2020)
Nicholas Monath, Ari Kobren, Akshay Krishnamurthy, Michael R. Glass, Andrew McCallum
Scalable Hierarchical Clustering with Tree Grafting. CoRR (2020)
Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum
Optimal Transport-based Alignment of Learned Character Representations for String Similarity. ACL (1) (2019)
Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum
Optimal Transport-based Alignment of Learned Character Representations for String Similarity. CoRR (2019)
Ari Kobren, Nicholas Monath, Andrew McCallum
Integrating User Feedback under Identity Uncertainty in Knowledge Base Construction. AKBC (2019)
Nishant Yadav, Ari Kobren, Nicholas Monath, Andrew McCallum
Supervised Hierarchical Clustering with Exponential Linkage. CoRR (2019)
Nicholas Monath, Ari Kobren, Akshay Krishnamurthy, Michael R. Glass, Andrew McCallum
Scalable Hierarchical Clustering with Tree Grafting. KDD (2019)
Nishant Yadav, Ari Kobren, Nicholas Monath, Andrew McCallum
Supervised Hierarchical Clustering with Exponential Linkage. ICML (2019)
Nicholas Monath, Manzil Zaheer, Daniel Silva, Andrew McCallum, Amr Ahmed
Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. KDD (2019)
Craig S. Greenberg, Nicholas Monath, Ari Kobren, Patrick Flaherty, Andrew McGregor, Andrew McCallum
Compact Representation of Uncertainty in Clustering. NeurIPS (2018)
Bo Xiao, Nicholas Monath, Shankar Ananthakrishnan, Abishek Ravi
Play Duration based User-Entity Affinity Modeling in Spoken Dialog System. CoRR (2018)
Bo Xiao, Nicholas Monath, Shankar Ananthakrishnan, Abishek Ravi
Play Duration Based User-Entity Affinity Modeling in Spoken Dialog System. INTERSPEECH (2018)
Aaron Traylor, Nicholas Monath, Rajarshi Das, Andrew McCallum
Learning String Alignments for Entity Aliases. AKBC@NIPS (2017)
Ari Kobren, Nicholas Monath, Akshay Krishnamurthy, Andrew McCallum
An Online Hierarchical Algorithm for Extreme Clustering. CoRR (2017)
Ari Kobren, Nicholas Monath, Andrew McCallum
Entity-centric Attribute Feedback for Interactive Knowledge Bases. AKBC@NIPS (2017)
Ari Kobren, Nicholas Monath, Akshay Krishnamurthy, Andrew McCallum
A Hierarchical Algorithm for Extreme Clustering. KDD (2017)
Haw-Shiuan Chang, Abdurrahman Munir, Ao Liu, Johnny Tian-Zheng Wei, Aaron Traylor, Ajay Nagesh, Nicholas Monath, Patrick Verga, Emma Strubell, Andrew McCallum
Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema. TAC (2016)
Benjamin Roth, Nicholas Monath, David Belanger, Emma Strubell, Patrick Verga, Andrew McCallum
Building Knowledge Bases with Universal Schema: Cold Start and Slot-Filling Approaches. TAC (2015)
Mykel J. Kochenderfer, Nicholas Monath
Compression of Optimal Value Functions for Markov Decision Processes. DCC (2013)