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Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization


Jun 02, 2021
Yichen Jiang, Asli Celikyilmaz, Paul Smolensky, Paul Soulos, Sudha Rao, Hamid Palangi, Roland Fernandez, Caitlin Smith, Mohit Bansal, Jianfeng Gao

* NAACL 2021 (14 pages) 

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


Apr 14, 2021
Bodhisattwa Prasad Majumder, Sudha Rao, Michel Galley, Julian McAuley

* Accepted in NAACL 2021, Code is available at https://github.com/microsoft/clarification-qgen-globalinfo 

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Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language


Nov 18, 2020
Hassan Akbari, Hamid Palangi, Jianwei Yang, Sudha Rao, Asli Celikyilmaz, Roland Fernandez, Paul Smolensky, Jianfeng Gao, Shih-Fu Chang


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Substance over Style: Document-Level Targeted Content Transfer


Oct 16, 2020
Allison Hegel, Sudha Rao, Asli Celikyilmaz, Bill Dolan

* This paper has been accepted to be published at EMNLP 2020 

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A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks


May 19, 2020
Angela S. Lin, Sudha Rao, Asli Celikyilmaz, Elnaz Nouri, Chris Brockett, Debadeepta Dey, Bill Dolan

* Association of Computational Linguistics 2020 
* This paper has been accepted to be published at ACL 2020 

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Unsupervised Common Question Generation from Multiple Documents using Reinforced Contrastive Coordinator


Nov 08, 2019
Woon Sang Cho, Yizhe Zhang, Sudha Rao, Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, Bill Dolan


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


Oct 25, 2019
Woon Sang Cho, Yizhe Zhang, Sudha Rao, Chris Brockett, Sungjin Lee

* Accepted at EMNLP-IJCNLP 2019 - The 3rd Workshop on Neural Generation and Translation 

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Answer-based Adversarial Training for Generating Clarification Questions


Apr 04, 2019
Sudha Rao, Hal Daumé III

* Accepted at NAACL 2019 

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


Jun 12, 2018
Sudha Rao, Hal Daumé III


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


Jun 12, 2018
Xing Niu, Sudha Rao, Marine Carpuat

* Accepted at the 27th International Conference on Computational Linguistics (COLING 2018) 

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


Apr 16, 2018
Sudha Rao, Joel Tetreault

* To appear in the proceedings of North American Chapter of the Association for Computational Linguistics: Human Language Technologies 2018 

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Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task


Nov 04, 2017
Allyson Ettinger, Sudha Rao, Hal Daumé III, Emily M. Bender

* Updated version of the EMNLP Workshop and Shared Task description paper, Proceedings of the First Workshop on Building Linguistically Generalizable NLP Systems. 2017 

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Parser for Abstract Meaning Representation using Learning to Search


Oct 26, 2015
Sudha Rao, Yogarshi Vyas, Hal Daume III, Philip Resnik


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