Sudha Rao
Sudha Rao
Microsoft Research
Potvrđena adresa e-pošte na - Početna stranica
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
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
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
Biomedical event extraction using abstract meaning representation
S Rao, D Marcu, K Knight, H Daumé III
BioNLP 2017, 126-135, 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
Answer-based adversarial training for generating clarification questions
S Rao, H Daumé III
arXiv preprint arXiv:1904.02281, 2019
Contrastive multi-document question generation
WS Cho, Y Zhang, S Rao, A Celikyilmaz, C Xiong, J Gao, M Wang, ...
arXiv preprint arXiv:1911.03047, 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
Ask what's missing and what's useful: Improving Clarification Question Generation using Global Knowledge
BP Majumder, S Rao, M Galley, J McAuley
arXiv preprint arXiv:2104.06828, 2021
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
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
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
Enriching transformers with structured tensor-product representations for abstractive summarization
Y Jiang, A Celikyilmaz, P Smolensky, P Soulos, S Rao, H Palangi, ...
arXiv preprint arXiv:2106.01317, 2021
Controlling the Specificity of Clarification Question Generation.
YT Cao, S Rao, H Daumé III
WNLP@ ACL, 53-56, 2019
Are you asking the right questions? Teaching Machines to Ask Clarification Questions
S Rao
Proceedings of ACL 2017, Student Research Workshop, 30-35, 2017
Parser for abstract meaning representation using learning to search
S Rao, Y Vyas, H Daume III, P Resnik
arXiv preprint arXiv:1510.07586, 2015
GPT Perdetry Test: Generating new meanings for new words
N Malkin, S Lanka, P Goel, S Rao, N Jojic
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
Substance over Style: Document-Level Targeted Content Transfer
A Hegel, S Rao, A Celikyilmaz, B Dolan
arXiv preprint arXiv:2010.08618, 2020
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
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
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