| Part-of-speech tagging for twitter: Annotation, features, and experiments K Gimpel, N Schneider, B O'Connor, D Das, D Mills, J Eisenstein, ... Carnegie-Mellon Univ Pittsburgh Pa School of Computer Science, 2010 | 1283 | 2010 |
| A Discriminative Graph-Based Parser for the Abstract Meaning Representation J Flanigan, S Thomson, J Carbonell, C Dyer, NA Smith Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 319 | 2014 |
| Toward abstractive summarization using semantic representations F Liu, J Flanigan, S Thomson, N Sadeh, NA Smith arXiv preprint arXiv:1805.10399, 2018 | 280 | 2018 |
| Generation from abstract meaning representation using tree transducers J Flanigan, C Dyer, NA Smith, JG Carbonell Proceedings of the 2016 conference of the north american chapter of the …, 2016 | 109 | 2016 |
| CMU at SemEval-2016 task 8: Graph-based AMR parsing with infinite ramp loss J Flanigan, C Dyer, NA Smith, JG Carbonell Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016 | 57 | 2016 |
| The materials science procedural text corpus: Annotating materials synthesis procedures with shallow semantic structures S Mysore, Z Jensen, E Kim, K Huang, HS Chang, E Strubell, J Flanigan, ... arXiv preprint arXiv:1905.06939, 2019 | 56 | 2019 |
| Large-scale discriminative training for statistical machine translation using held-out line search J Flanigan, C Dyer, JG Carbonell Proceedings of the 2013 Conference of the North American Chapter of the …, 2013 | 17 | 2013 |
| CMU: Arc-factored, discriminative semantic dependency parsing S Thompson, B O'Connor, J Flanigan, D Bamman, J Dodge, ... Carnegie Mellon University, 2014 | 14 | 2014 |
| Athena: Constructing dialogues dynamically with discourse constraints V Harrison, J Juraska, W Cui, L Reed, KK Bowden, J Wu, B Schwarzmann, ... arXiv preprint arXiv:2011.10683, 2020 | 9 | 2020 |
| The logic of amr: Practical, unified, graph-based sentence semantics for nlp N Schneider, J Flanigan, T O’Gorman Proceedings of the 2015 Conference of the North American Chapter of the …, 2015 | 7 | 2015 |
| ASQ: Automatically Generating Question-Answer Pairs using AMRs G Rakshit, J Flanigan arXiv preprint arXiv:2105.10023, 2021 | 2 | 2021 |
| Avoiding Overlap in Data Augmentation for AMR-to-Text Generation W Du, J Flanigan Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 1 | 2021 |
| Parsing and Generation for the Abstract Meaning Representation J Flanigan University of Rochester, 2018 | 1 | 2018 |
| Forming Trees with Treeformers N Patel, J Flanigan arXiv preprint arXiv:2207.06960, 2022 | | 2022 |
| Improving Neural Machine Translation with the Abstract Meaning Representation by Combining Graph and Sequence Transformers C Li, J Flanigan Proceedings of the 2nd Workshop on Deep Learning on Graphs for Natural …, 2022 | | 2022 |
| DocAMR: Multi-Sentence AMR Representation and Evaluation T Naseem, A Blodgett, S Kumaravel, T O'Gorman, YS Lee, J Flanigan, ... arXiv preprint arXiv:2112.08513, 2021 | | 2021 |
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
