Shashi Narayan

According to our database, Shashi Narayan authored at least 56 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

μPLAN: Summarizing using a Content Plan as Cross-Lingual Bridge.

Fantine Huot, Joshua Maynez, Chris Alberti, Reinald Kim Amplayo, Priyanka Agrawal, Constanza Fierro, Shashi Narayan, Mirella Lapata

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Little Red Riding Hood Goes around the Globe: Crosslingual Story Planning and Generation with Large Language Models.

Evgeniia Razumovskaia, Joshua Maynez, Annie Louis, Mirella Lapata, Shashi Narayan

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Learning to Plan and Generate Text with Citations.

Constanza Fierro, Reinald Kim Amplayo, Fantine Huot, Nicola De Cao, Joshua Maynez, Shashi Narayan, Mirella Lapata

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Conditional Generation with a Question-Answering Blueprint.

Shashi Narayan, Joshua Maynez, Reinald Kim Amplayo, Kuzman Ganchev, Annie Louis, Fantine Huot, Anders Sandholm, Dipanjan Das, Mirella Lapata

Trans. Assoc. Comput. Linguistics, 2023

Calibrating Likelihoods towards Consistency in Summarization Models.

Polina Zablotskaia, Misha Khalman, Rishabh Joshi, Livio Baldini Soares, Shoshana Jakobovits, Joshua Maynez, Shashi Narayan

CoRR, 2023

Calibrating Sequence likelihood Improves Conditional Language Generation.

Yao Zhao, Misha Khalman, Rishabh Joshi, Shashi Narayan, Mohammad Saleh, Peter J. Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SMART: Sentences as Basic Units for Text Evaluation.

Reinald Kim Amplayo, Peter J. Liu, Yao Zhao, Shashi Narayan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study.

Polina Zablotskaia, Du Phan, Joshua Maynez, Shashi Narayan, Jie Ren, Jeremiah Z. Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Text-Blueprint: An Interactive Platform for Plan-based Conditional Generation.

Fantine Huot, Joshua Maynez, Shashi Narayan, Reinald Kim Amplayo, Kuzman Ganchev, Annie Priyadarshini Louis, Anders Sandholm, Dipanjan Das, Mirella Lapata

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL 2023, 2023

Query Refinement Prompts for Closed-Book Long-Form QA.

Reinald Kim Amplayo, Kellie Webster, Michael Collins, Dipanjan Das, Shashi Narayan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Multilingual Summarization with Factual Consistency Evaluation.

Roee Aharoni, Shashi Narayan, Joshua Maynez, Jonathan Herzig, Elizabeth Clark, Mirella Lapata

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

mFACE: Multilingual Summarization with Factual Consistency Evaluation.

Roee Aharoni, Shashi Narayan, Joshua Maynez, Jonathan Herzig, Elizabeth Clark, Mirella Lapata

CoRR, 2022

Query Refinement Prompts for Closed-Book Long-Form Question Answering.

Reinald Kim Amplayo, Kellie Webster, Michael Collins, Dipanjan Das, Shashi Narayan

CoRR, 2022

Conditional Generation with a Question-Answering Blueprint.

Shashi Narayan, Joshua Maynez, Reinald Kim Amplayo, Kuzman Ganchev, Annie Louis, Fantine Huot, Dipanjan Das, Mirella Lapata

CoRR, 2022

Data Augmentation for Low-Resource Dialogue Summarization.

Yongtai Liu, Joshua Maynez, Gonçalo Simões, Shashi Narayan

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation.

Shashi Narayan, Gonçalo Simões, Yao Zhao, Joshua Maynez, Dipanjan Das, Michael Collins, Mirella Lapata

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Planning with Learned Entity Prompts for Abstractive Summarization.

Shashi Narayan, Yao Zhao, Joshua Maynez, Gonçalo Simões, Vitaly Nikolaev, Ryan T. McDonald

Trans. Assoc. Comput. Linguistics, 2021

Planning with Entity Chains for Abstractive Summarization.

Shashi Narayan, Yao Zhao, Joshua Maynez, Gonçalo Simões, Ryan T. McDonald

CoRR, 2021

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

Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondrej Dusek, 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 P. 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

CoRR, 2021

MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization.

Xinnuo Xu, Ondrej Dusek, Shashi Narayan, Verena Rieser, Ioannis Konstas

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

A Thorough Evaluation of Task-Specific Pretraining for Summarization.

Sascha Rothe, Joshua Maynez, Shashi Narayan

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Focus Attention: Promoting Faithfulness and Diversity in Summarization.

Rahul Aralikatte, Shashi Narayan, Joshua Maynez, Sascha Rothe, Ryan T. McDonald

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Deep Learning Approaches to Text Production

Shashi Narayan, Claire Gardent

Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers, ISBN: 978-3-031-02173-2, 2020

Leveraging Pre-trained Checkpoints for Sequence Generation Tasks.

Sascha Rothe, Shashi Narayan, Aliaksei Severyn

Trans. Assoc. Comput. Linguistics, 2020

QURIOUS: Question Generation Pretraining for Text Generation.

Shashi Narayan, Gonçalo Simões, Ji Ma, Hannah Craighead, Ryan T. McDonald

CoRR, 2020

Stepwise Extractive Summarization and Planning with Structured Transformers.

Shashi Narayan, Joshua Maynez, Jakub Adámek, Daniele Pighin, Blaz Bratanic, Ryan T. McDonald

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

On Faithfulness and Factuality in Abstractive Summarization.

Joshua Maynez, Shashi Narayan, Bernd Bohnet, Ryan T. McDonald

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

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

Shashi Narayan, Shay B. Cohen, Mirella Lapata

J. Artif. Intell. Res., 2019

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

Ran Tian, Shashi Narayan, Thibault Sellam, Ankur P. Parikh

CoRR, 2019

Jointly Extracting and Compressing Documents with Summary State Representations.

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

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

HighRES: Highlight-based Reference-less Evaluation of Summarization.

Hardy, Shashi Narayan, Andreas Vlachos

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Ranking Sentences for Extractive Summarization with Reinforcement Learning.

Shashi Narayan, Shay B. Cohen, Mirella Lapata

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Deep Learning Approaches to Text Production.

Claire Gardent, Shashi Narayan

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018

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

Shashi Narayan, Shay B. Cohen, Mirella Lapata

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Privacy-preserving Neural Representations of Text.

Maximin Coavoux, Shashi Narayan, Shay B. Cohen

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Local String Transduction as Sequence Labeling.

Joana Ribeiro, Shashi Narayan, Shay B. Cohen, Xavier Carreras

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Document Modeling with External Attention for Sentence Extraction.

Shashi Narayan, Ronald Cardenas, Nikos Papasarantopoulos, Shay B. Cohen, Mirella Lapata, Jiangsheng Yu, Yi Chang

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Neural Extractive Summarization with Side Information.

Shashi Narayan, Nikos Papasarantopoulos, Mirella Lapata, Shay B. Cohen

CoRR, 2017

The WebNLG Challenge: Generating Text from RDF Data.

Claire Gardent, Anastasia Shimorina, Shashi Narayan, Laura Perez-Beltrachini

Proceedings of the 10th International Conference on Natural Language Generation, 2017

Split and Rephrase.

Shashi Narayan, Claire Gardent, Shay B. Cohen, Anastasia Shimorina

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

The SUMMA Platform Prototype.

Renars Liepins, Ulrich Germann, Guntis Barzdins, Alexandra Birch, Steve Renals, Susanne Weber, Peggy van der Kreeft, Hervé Bourlard, João Prieto, Ondrej Klejch, Peter Bell, Alexandros Lazaridis, Afonso Mendes, Sebastian Riedel, Mariana S. C. Almeida, Pedro Balage, Shay B. Cohen, Tomasz Dwojak, Philip N. Garner, Andreas Giefer, Marcin Junczys-Dowmunt, Hina Imran, David Nogueira, Ahmed M. Ali, Sebastião Miranda, Andrei Popescu-Belis, Lesly Miculicich Werlen, Nikos Papasarantopoulos, Abiola Obamuyide, Clive Jones, Fahim Dalvi, Andreas Vlachos, Yang Wang, Sibo Tong, Rico Sennrich, Nikolaos Pappas, Shashi Narayan, Marco Damonte, Nadir Durrani, Sameer Khurana, Ahmed Abdelali, Hassan Sajjad, Stephan Vogel, David Sheppey, Chris Hernon, Jeff Mitchell

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Creating Training Corpora for NLG Micro-Planners.

Claire Gardent, Anastasia Shimorina, Shashi Narayan, Laura Perez-Beltrachini

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Encoding Prior Knowledge with Eigenword Embeddings.

Dominique Osborne, Shashi Narayan, Shay B. Cohen

Trans. Assoc. Comput. Linguistics, 2016

Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing.

Shashi Narayan, Siva Reddy, Shay B. Cohen

Proceedings of the INLG 2016, 2016

Unsupervised Sentence Simplification Using Deep Semantics.

Shashi Narayan, Claire Gardent

Proceedings of the INLG 2016, 2016

The WebNLG Challenge: Generating Text from DBPedia Data.

Émilie Colin, Claire Gardent, Yassine Mrabet, Shashi Narayan, Laura Perez-Beltrachini

Proceedings of the INLG 2016, 2016

Optimizing Spectral Learning for Parsing.

Shashi Narayan, Shay B. Cohen

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Multiple Adjunction in Feature-Based Tree-Adjoining Grammar.

Claire Gardent, Shashi Narayan

Comput. Linguistics, 2015

Diversity in Spectral Learning for Natural Language Parsing.

Shashi Narayan, Shay B. Cohen

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014

Generating and Simplifying Sentences. (Génération et Simplification de Phrases).

Shashi Narayan

PhD thesis, 2014

Hybrid Simplification using Deep Semantics and Machine Translation.

Shashi Narayan, Claire Gardent

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Generating Elliptic Coordination.

Claire Gardent, Shashi Narayan

Proceedings of the ENLG 2013, 2013

2012

Structure-Driven Lexicalist Generation.

Shashi Narayan, Claire Gardent

Proceedings of the COLING 2012, 2012

Error Mining with Suspicion Trees: Seeing the Forest for the Trees.

Shashi Narayan, Claire Gardent

Proceedings of the COLING 2012, 2012

Error Mining on Dependency Trees.

Claire Gardent, Shashi Narayan

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2010

A composite kernel for named entity recognition.

Sujan Kumar Saha, Shashi Narayan, Sudeshna Sarkar, Pabitra Mitra

Pattern Recognit. Lett., 2010