Author

Sudha Rao

Observed name: Rao, Sudha

Observed institutions: Microsoft (United States), PES University, University of Washington, University of Maryland, College Park

OpenAlex ID: A5001484153

Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer

2018 · Sudha Rao, Joel Tetreault · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 325

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Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information

2018 · Sudha Rao, Hal Daumé III · Annual Meeting of the Association for Computational Linguistics (ACL) · 153

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Biomedical Event Extraction using Abstract Meaning Representation

2017 · Sudha Rao, Daniel Marcu, et al. · 78

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Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task

2017 · Allyson Ettinger, Sudha Rao, et al. · 78

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Multi-Task Neural Models for Translating Between Styles Within and Across Languages

2018 · Niu, Xing, Rao, Sudha, et al. · arXiv (Cornell University) · 69

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Answer-based Adversarial Training for Generating Clarification Questions

2019 · Rao, Sudha, Daumé, Hal · arXiv (Cornell University) · 39

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Answer-based Adversarial Training for Generating Clarification Questions

2019 · Sudha Rao, Hal Daumé III · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 34

Contrastive Multi-document Question Generation

2021 · Woon Sang Cho, Yizhe Zhang, et al. · 24

Ask what’s missing and what’s useful: Improving Clarification Question Generation using Global Knowledge

2021 · Bodhisattwa Prasad Majumder, Sudha Rao, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 19

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Dialogue focus tracking for zero pronoun resolution

2015 · Sudha Rao, Allyson Ettinger, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 17

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A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks

2020 · Angela Lin, Sudha Rao, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 15

Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization

2021 · Yichen Jiang, Asli Celikyilmaz, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 13

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GPT Perdetry Test: Generating new meanings for new words

2021 · Nikolay Malkin, Sameera Lanka, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 11

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Quality and Relevance Metrics for Selection of Multimodal Pretraining Data

2020 · Roshan Rao, Sudha Rao, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 6

Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts

2019 · Elissa Redmiles, Lisa Maszkiewicz, et al. · 6

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Parser for Abstract Meaning Representation using Learning to Search

2015 · Rao, Sudha, Vyas, Yogarshi, et al. · arXiv (Cornell University) · 6

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Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder Models

2019 · Woon Sang Cho, Yizhe Zhang, et al. · 5

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