| 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 | 124 | 2017 |
| 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 | 82 | 2019 |
| Clustering-based inference for biomedical entity linking R Angell, N Monath, S Mohan, N Yadav, A McCallum arXiv preprint arXiv:2010.11253, 2020 | 61 | 2020 |
| Autoregressive structured prediction with language models T Liu, Y Jiang, N Monath, R Cotterell, M Sachan arXiv preprint arXiv:2210.14698, 2022 | 49 | 2022 |
| Scalable hierarchical agglomerative clustering N Monath, KA Dubey, G Guruganesh, M Zaheer, A Ahmed, A McCallum, ... Proceedings of the 27th ACM SIGKDD Conference on knowledge discovery & data …, 2021 | 47* | 2021 |
| 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 | 46 | 2019 |
| Probabilistic case-based reasoning for open-world knowledge graph completion R Das, A Godbole, N Monath, M Zaheer, A McCallum arXiv preprint arXiv:2010.03548, 2020 | 32 | 2020 |
| Supervised hierarchical clustering with exponential linkage N Yadav, A Kobren, N Monath, A Mccallum International Conference on Machine Learning, 6973-6983, 2019 | 29 | 2019 |
| Entity linking via explicit mention-mention coreference modeling D Agarwal, R Angell, N Monath, A McCallum Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 26 | 2022 |
| Scaling within document coreference to long texts R Thirukovalluru, N Monath, K Shridhar, M Zaheer, M Sachan, ... Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 19 | 2021 |
| 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 | 19 | 2015 |
| Discriminative hierarchical coreference for inventor disambiguation N Monath, A McCallum PatentsView Inventor Disambiguation Technical Workshop, USPTO, Alexandria …, 2015 | 18 | 2015 |
| Entity linking and discovery via arborescence-based supervised clustering D Agarwal, R Angell, N Monath, A McCallum arXiv preprint arXiv:2109.01242, 2021 | 17 | 2021 |
| Compression of optimal value functions for Markov decision processes MJ Kochenderfer, N Monath 2013 Data Compression Conference, 501-501, 2013 | 17 | 2013 |
| Low resource recognition and linking of biomedical concepts from a large ontology S Mohan, R Angell, N Monath, A McCallum Proceedings of the 12th ACM conference on bioinformatics, computational …, 2021 | 16 | 2021 |
| 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 | 15 | 2019 |
| Unsupervised hypernym induction machine learning MFM Chowdhury, RG Farrell, NBG Monath, MR Glass, MA Sultan US Patent 11,507,828, 2022 | 14 | 2022 |
| Capacity and bias of learned geometric embeddings for directed graphs M Boratko, D Zhang, N Monath, L Vilnis, KL Clarkson, A McCallum Advances in Neural Information Processing Systems 34, 16423-16436, 2021 | 12 | 2021 |
| 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, 2018 | 10 | 2018 |
| Gradient-based Hierarchical Clustering N Monath, A Kobren, A Krishnamurthy, A McCallum NIPS Workshop on Discrete Structures in Machine Learning (DISCML), 2017 | 10 | 2017 |
Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
