Dear sir or madam, may i introduce the gyafc dataset: Corpus, benchmarks and metrics for formality style transfer S Rao, J Tetreault arXiv preprint arXiv:1803.06535, 2018 | 110 | 2018 |
Learning to ask good questions: Ranking clarification questions using neural expected value of perfect information S Rao, H Daumé III arXiv preprint arXiv:1805.04655, 2018 | 47 | 2018 |
Towards linguistically generalizable NLP systems: A workshop and shared task A Ettinger, S Rao, H Daumé III, EM Bender arXiv preprint arXiv:1711.01505, 2017 | 45 | 2017 |
Biomedical event extraction using abstract meaning representation S Rao, D Marcu, K Knight, H Daumé III BioNLP 2017, 126-135, 2017 | 41 | 2017 |
Multi-task neural models for translating between styles within and across languages X Niu, S Rao, M Carpuat arXiv preprint arXiv:1806.04357, 2018 | 32 | 2018 |
Answer-based adversarial training for generating clarification questions S Rao, H Daumé III arXiv preprint arXiv:1904.02281, 2019 | 20 | 2019 |
Dialogue focus tracking for zero pronoun resolution S Rao, A Ettinger, H Daumé III, P Resnik Proceedings of the 2015 Conference of the North American Chapter of the …, 2015 | 13 | 2015 |
Clip@ umd at semeval-2016 task 8: Parser for abstract meaning representation using learning to search S Rao, Y Vyas, H Daumé III, P Resnik Proceedings of the 10th international workshop on semantic evaluation …, 2016 | 7 | 2016 |
Parser for abstract meaning representation using learning to search S Rao, Y Vyas, H Daume III, P Resnik arXiv preprint arXiv:1510.07586, 2015 | 4 | 2015 |
A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks AS Lin, S Rao, A Celikyilmaz, E Nouri, C Brockett, D Dey, B Dolan arXiv preprint arXiv:2005.09606, 2020 | 2 | 2020 |
Are you asking the right questions? Teaching Machines to Ask Clarification Questions S Rao Proceedings of ACL 2017, Student Research Workshop, 30-35, 2017 | 2 | 2017 |
Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder Models WS Cho, Y Zhang, S Rao, C Brockett, S Lee arXiv preprint arXiv:1910.11483, 2019 | 1 | 2019 |
Controlling the Specificity of Clarification Question Generation YT Cao, S Rao, H Daumé III Proceedings of the 2019 Workshop on Widening NLP, 53-56, 2019 | 1 | 2019 |
Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language H Akbari, H Palangi, J Yang, S Rao, A Celikyilmaz, R Fernandez, ... arXiv preprint arXiv:2011.09530, 2020 | | 2020 |
Substance over Style: Document-Level Targeted Content Transfer A Hegel, S Rao, A Celikyilmaz, B Dolan arXiv preprint arXiv:2010.08618, 2020 | | 2020 |
Quality and Relevance Metrics for Selection of Multimodal Pretraining Data R Rao, S Rao, E Nouri, D Dey, A Celikyilmaz, B Dolan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | | 2020 |
Unsupervised Common Question Generation from Multiple Documents using Reinforced Contrastive Coordinator WS Cho, Y Zhang, S Rao, A Celikyilmaz, C Xiong, J Gao, M Wang, ... arXiv preprint arXiv:1911.03047, 2019 | | 2019 |
Teaching Machines to Ask Useful Clarification Questions S Rao | | 2018 |
Proceedings of the First Workshop on Building Linguistically Generalizable NLP Systems EM Bender, H Daumé III, A Ettinger, S Rao Proceedings of the First Workshop on Building Linguistically Generalizable …, 2017 | | 2017 |
Hands-on Learning to Search for Structured Prediction H Daumé III, J Langford, KW Chang, H He, S Rao Proceedings of the 2015 Conference of the North American Chapter of the …, 2015 | | 2015 |