Nicholas Monath

Orcid: 0000-0002-5135-2423

According to our database1, Nicholas Monath authored at least 49 papers between 2013 and 2024.

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Bibliography

2024
Incremental Extractive Opinion Summarization Using Cover Trees.
CoRR, 2024

2023
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests.
CoRR, 2023

Adaptive Selection of Anchor Items for CUR-based k-NN search with Cross-Encoders.
CoRR, 2023

Robust Concept Erasure via Kernelized Rate-Distortion Maximization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Online Level-wise Hierarchical Clustering.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Unsupervised Opinion Summarization Using Approximate Geodesics.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Longtonotes: OntoNotes with Longer Coreference Chains.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Autoregressive Structured Prediction with Language Models.
CoRR, 2022

Unsupervised Opinion Summarization Using Approximate Geodesics.
CoRR, 2022

Entity Linking via Explicit Mention-Mention Coreference Modeling.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Interactive Correlation Clustering with Existential Cluster Constraints.
Proceedings of the International Conference on Machine Learning, 2022

Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Autoregressive Structured Prediction with Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Sublinear Time Approximation of Text Similarity Matrices.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Entity Linking and Discovery via Arborescence-based Supervised Clustering.
CoRR, 2021

Model-Agnostic Graph Regularization for Few-Shot Learning.
CoRR, 2021

Exact and approximate hierarchical clustering using A.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Knowledge Informed Semantic Parsing for Conversational Question Answering.
Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

Capacity and Bias of Learned Geometric Embeddings for Directed Graphs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Clustering-based Inference for Biomedical Entity Linking.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Scalable Hierarchical Agglomerative Clustering.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Low resource recognition and linking of biomedical concepts from a large ontology.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

DAG-Structured Clustering by Nearest Neighbors.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Cluster Trellis: Data Structures & Algorithms for Exact Inference in Hierarchical Clustering.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Scaling Within Document Coreference to Long Texts.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Scalable Bottom-Up Hierarchical Clustering.
CoRR, 2020

Clustering-based Inference for Zero-Shot Biomedical Entity Linking.
CoRR, 2020

Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion.
CoRR, 2020

Compact Representation of Uncertainty in Hierarchical Clustering.
CoRR, 2020

Probabilistic Case-based Reasoning in Knowledge Bases.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Using BibTeX to Automatically Generate Labeled Data for Citation Field Extraction.
Proceedings of the Conference on Automated Knowledge Base Construction, 2020

Predicting Institution Hierarchies with Set-based Models.
Proceedings of the Conference on Automated Knowledge Base Construction, 2020

2019
Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Scalable Hierarchical Clustering with Tree Grafting.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Supervised Hierarchical Clustering with Exponential Linkage.
Proceedings of the 36th International Conference on Machine Learning, 2019

Integrating User Feedback under Identity Uncertainty in Knowledge Base Construction.
Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019

Optimal Transport-based Alignment of Learned Character Representations for String Similarity.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Compact Representation of Uncertainty in Clustering.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Play Duration Based User-Entity Affinity Modeling in Spoken Dialog System.
Proceedings of the Interspeech 2018, 2018

2017
An Online Hierarchical Algorithm for Extreme Clustering.
CoRR, 2017

A Hierarchical Algorithm for Extreme Clustering.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Learning String Alignments for Entity Aliases.
Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

Entity-centric Attribute Feedback for Interactive Knowledge Bases.
Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

2016
Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema.
Proceedings of the 2016 Text Analysis Conference, 2016

2015
Building Knowledge Bases with Universal Schema: Cold Start and Slot-Filling Approaches.
Proceedings of the 2015 Text Analysis Conference, 2015

2013
Compression of Optimal Value Functions for Markov Decision Processes.
Proceedings of the 2013 Data Compression Conference, 2013


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