| Systematic generalization: what is required and can it be learned? D Bahdanau, S Murty, M Noukhovitch, TH Nguyen, H de Vries, A Courville arXiv preprint arXiv:1811.12889, 2018 | 143* | 2018 |
| Hierarchical losses and new resources for fine-grained entity typing and linking S Murty, P Verga, L Vilnis, I Radovanovic, A McCallum Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 85 | 2018 |
| Probabilistic embedding of knowledge graphs with box lattice measures L Vilnis, X Li, S Murty, A McCallum arXiv preprint arXiv:1805.06627, 2018 | 80 | 2018 |
| Iterative search for weakly supervised semantic parsing P Dasigi, M Gardner, S Murty, L Zettlemoyer, E Hovy Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 35 | 2019 |
| Expbert: Representation engineering with natural language explanations S Murty, PW Koh, P Liang arXiv preprint arXiv:2005.01932, 2020 | 29 | 2020 |
| Finer grained entity typing with typenet S Murty, P Verga, L Vilnis, A McCallum arXiv preprint arXiv:1711.05795, 2017 | 21 | 2017 |
| Closure: Assessing systematic generalization of clevr models D Bahdanau, H de Vries, TJ O'Donnell, S Murty, P Beaudoin, Y Bengio, ... arXiv preprint arXiv:1912.05783, 2019 | 20 | 2019 |
| Dreca: A general task augmentation strategy for few-shot natural language inference S Murty, TB Hashimoto, CD Manning Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 13 | 2021 |
| Harm de Vries, and Aaron Courville D Bahdanau, S Murty, M Noukhovitch, TH Nguyen Systematic generalization: What is required and can it be learned, 1-16, 2018 | 6 | 2018 |
| Embedded-state latent conditional random fields for sequence labeling D Thai, SH Ramesh, S Murty, L Vilnis, A McCallum arXiv preprint arXiv:1809.10835, 2018 | 5 | 2018 |
| Joint matrix-tensor factorization for knowledge base inference P Jain, S Murty, S Chakrabarti arXiv preprint arXiv:1706.00637, 2017 | 2 | 2017 |
| Mitigating the effect of out-of-vocabulary entity pairs in matrix factorization for KB inference P Jain, S Murty, M Mausam, S Chakrabarti Proceedings of the 27th International Joint Conference on Artificial …, 2018 | 1 | 2018 |
| Low-Rank Hidden State Embeddings for Viterbi Sequence Labeling D Thai, S Murty, T Bansal, L Vilnis, D Belanger, A McCallum arXiv preprint arXiv:1708.00553, 2017 | | 2017 |
| Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures Download PDF L Vilnis, X Li, S Murty, A McCallum | | |
| Meta-Learning for Sample Reweighting using Sequence Models: A Natural Language Inference Case Study EA Chi, S Murty, S Karamcheti | | |
Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
