| BERTScore: Evaluating Text Generation with BERT T Zhang, V Kishore, F Wu, KQ Weinberger, Y Artzi Proceedings of the International Conference on Learning Representations, 2020 | 1601 | 2020 |
| Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions. Y Artzi, L Zettlemoyer Transactions of the Association for Computational Linguistics (TACL) 1, 49-62, 2013 | 481 | 2013 |
| Simple Recurrent Units for Highly Parallelizable Recurrence T Lei, Y Zhang, SI Wang, H Dai, Y Artzi Proceedings of the Conference on Empirical Methods in Natural Language …, 2018 | 407* | 2018 |
| NEWSROOM: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies M Grusky, M Naaman, Y Artzi Proceedings of the Conference of the North American Chapter of the …, 2018 | 393 | 2018 |
| Scaling Semantic Parsers with On-the-fly Ontology Matching T Kwiatkowski, E Choi, Y Artzi, L Zettlemoyer Proceedings of the Conference on Empirical Methods in Natural Language …, 2013 | 377 | 2013 |
| Learning to Automatically Solve Algebra Word Problems N Kushman, Y Artzi, L Zettlemoyer, R Barzilay Proceedings of the Conference of the Association for Computational …, 2014 | 322 | 2014 |
| A corpus for reasoning about natural language grounded in photographs A Suhr, S Zhou, A Zhang, I Zhang, H Bai, Y Artzi Proceedings of the 57th Annual Meeting of the Association for Computational …, 2018 | 284 | 2018 |
| Evaluating models’ local decision boundaries via contrast sets M Gardner, Y Artzi, V Basmov, J Berant, B Bogin, S Chen, P Dasigi, D Dua, ... Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 283 | 2020 |
| Touchdown: Natural language navigation and spatial reasoning in visual street environments H Chen, A Suhr, D Misra, N Snavely, Y Artzi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 257 | 2019 |
| Revisiting Few-sample BERT Fine-tuning T Zhang, F Wu, A Katiyar, KQ Weinberger, Y Artzi arXiv preprint arXiv:2006.05987, 2020 | 209 | 2020 |
| Mapping Instructions and Visual Observations to Actions with Reinforcement Learning D Misra, J Langford, Y Artzi Proceedings of the Conference on Empirical Methods in Natural Language …, 2017 | 209 | 2017 |
| A Corpus of Natural Language for Visual Reasoning A Suhr, M Lewis, J Yeh, Y Artzi Proceedings of the Conference of the Association for Computational …, 2017 | 176 | 2017 |
| Broad-coverage CCG Semantic Parsing with AMR Y Artzi, K Lee, L Zettlemoyer Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 172 | 2015 |
| Bootstrapping semantic parsers from conversations Y Artzi, L Zettlemoyer Proceedings of the Conference on Empirical Methods in Natural Language …, 2011 | 164 | 2011 |
| Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction D Misra, A Bennett, V Blukis, E Niklasson, M Shatkhin, Y Artzi Proceedings of the Conference on Empirical Methods in Natural Language …, 2018 | 132 | 2018 |
| Predicting Responses to Microblog Posts Y Artzi, P Pantel, M Gamon Proceedings of the Conference of the North American Chapter of the …, 2012 | 112 | 2012 |
| Context-dependent Semantic Parsing for Time Expressions K Lee, Y Artzi, J Dodge, L Zettlemoyer Proceedings of the Conference of the Association for Computational …, 2014 | 99 | 2014 |
| Learning to Map Context-Dependent Sentences to Executable Formal Queries A Suhr, S Iyer, Y Artzi Proceedings of the Conference of the North American Chapter of the …, 2018 | 89 | 2018 |
| CHALET: Cornell House Agent Learning Environment C Yan, D Misra, A Bennnett, A Walsman, Y Bisk, Y Artzi arXiv preprint arXiv:1801.07357, 2018 | 86 | 2018 |
| Device, system and method for providing distributed online services R Makavy, M Berdichevsky, B Naveh, Y Artzi US Patent 9,237,207, 2016 | 81* | 2016 |
Luke ZettlemoyerUniversity of Washington; Meta AIVerified email at cs.washington.edu
