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Planning with Entity Chains for Abstractive Summarization


Apr 15, 2021
Shashi Narayan, Yao Zhao, Joshua Maynez, Gonçalo Simoes, Ryan McDonald

* 11 pages 

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The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics


Feb 03, 2021
Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondřej Dušek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou


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Stepwise Extractive Summarization and Planning with Structured Transformers


Oct 06, 2020
Shashi Narayan, Joshua Maynez, Jakub Adamek, Daniele Pighin, Blaž Bratanič, Ryan McDonald

* 17 pages, EMNLP 2020 

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On Faithfulness and Factuality in Abstractive Summarization


May 02, 2020
Joshua Maynez, Shashi Narayan, Bernd Bohnet, Ryan McDonald

* ACL 2020, 14 pages 

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QURIOUS: Question Generation Pretraining for Text Generation


Apr 23, 2020
Shashi Narayan, Gonçalo Simoes, Ji Ma, Hannah Craighead, Ryan Mcdonald

* 9 pages 

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Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation


Nov 15, 2019
Ran Tian, Shashi Narayan, Thibault Sellam, Ankur P. Parikh


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Leveraging Pre-trained Checkpoints for Sequence Generation Tasks


Jul 29, 2019
Sascha Rothe, Shashi Narayan, Aliaksei Severyn


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What is this Article about? Extreme Summarization with Topic-aware Convolutional Neural Networks


Jul 19, 2019
Shashi Narayan, Shay B. Cohen, Mirella Lapata

* Accepted to appear in Journal of Artificial Intelligence Research (JAIR), 37 pages 

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HighRES: Highlight-based Reference-less Evaluation of Summarization


Jun 04, 2019
Hardy, Shashi Narayan, Andreas Vlachos

* Accepted for ACL 2019 

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Jointly Extracting and Compressing Documents with Summary State Representations


Apr 05, 2019
Afonso Mendes, Shashi Narayan, Sebastião Miranda, Zita Marinho, André F. T. Martins, Shay B. Cohen

* NAACL 2019 

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Privacy-preserving Neural Representations of Text


Aug 28, 2018
Maximin Coavoux, Shashi Narayan, Shay B. Cohen

* EMNLP 2018 

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Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization


Aug 27, 2018
Shashi Narayan, Shay B. Cohen, Mirella Lapata

* 11, 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018 

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Ranking Sentences for Extractive Summarization with Reinforcement Learning


Apr 16, 2018
Shashi Narayan, Shay B. Cohen, Mirella Lapata

* NAACL 2018, 13 pages 

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Split and Rephrase


Jul 21, 2017
Shashi Narayan, Claire Gardent, Shay B. Cohen, Anastasia Shimorina

* 11 pages, EMNLP 2017 

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Unsupervised Sentence Simplification Using Deep Semantics


Sep 07, 2016
Shashi Narayan, Claire Gardent

* 10 pages, INLG 2016 

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Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing


Aug 05, 2016
Shashi Narayan, Siva Reddy, Shay B. Cohen

* 10 pages, INLG 2016 

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Encoding Prior Knowledge with Eigenword Embeddings


Jul 27, 2016
Dominique Osborne, Shashi Narayan, Shay B. Cohen

* in Transactions of the Association of Computational Linguistics (TACL), 2016 

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Optimizing Spectral Learning for Parsing


Jun 14, 2016
Shashi Narayan, Shay B. Cohen

* 11 pages, ACL 2016 

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Diversity in Spectral Learning for Natural Language Parsing


Aug 15, 2015
Shashi Narayan, Shay B. Cohen


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