Shashi Narayan

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 68

Top Venues

CoRR

ACL (1)

EMNLP

Trans. Assoc. Comput. Linguistics

University of Lorraine, Nancy, France (PHD)

Education History

University of Lorraine, Nancy, France

PHD

Publications

Constanza Fierro, Reinald Kim Amplayo, Fantine Huot, Nicola De Cao, Joshua Maynez, Shashi Narayan, Mirella Lapata
Learning to Plan and Generate Text with Citations. CoRR (2024)
Fantine Huot, Joshua Maynez, Chris Alberti, Reinald Kim Amplayo, Priyanka Agrawal, Constanza Fierro, Shashi Narayan, Mirella Lapata
μPLAN: Summarizing using a Content Plan as Cross-Lingual Bridge. EACL (1) (2024)
Evgeniia Razumovskaia, Joshua Maynez, Annie Louis, Mirella Lapata, Shashi Narayan
Little Red Riding Hood Goes around the Globe: Crosslingual Story Planning and Generation with Large Language Models. LREC/COLING (2024)
Constanza Fierro, Reinald Kim Amplayo, Fantine Huot, Nicola De Cao, Joshua Maynez, Shashi Narayan, Mirella Lapata
Learning to Plan and Generate Text with Citations. ACL (1) (2024)
Reinald Kim Amplayo, Peter J. Liu, Yao Zhao, Shashi Narayan
SMART: Sentences as Basic Units for Text Evaluation. ICLR (2023)
Yao Zhao, Misha Khalman, Rishabh Joshi, Shashi Narayan, Mohammad Saleh, Peter J. Liu
Calibrating Sequence likelihood Improves Conditional Language Generation. ICLR (2023)
Shashi Narayan, Joshua Maynez, Reinald Kim Amplayo, Kuzman Ganchev, Annie Louis, Fantine Huot, Anders Sandholm, Dipanjan Das, Mirella Lapata
Conditional Generation with a Question-Answering Blueprint. Trans. Assoc. Comput. Linguistics 11 (2023)
Reinald Kim Amplayo, Kellie Webster, Michael Collins, Dipanjan Das, Shashi Narayan
Query Refinement Prompts for Closed-Book Long-Form QA. ACL (1) (2023)
Fantine Huot, Joshua Maynez, Shashi Narayan, Reinald Kim Amplayo, Kuzman Ganchev, Annie Priyadarshini Louis, Anders Sandholm, Dipanjan Das, Mirella Lapata
Text-Blueprint: An Interactive Platform for Plan-based Conditional Generation. EACL (System Demonstrations) (2023)
Polina Zablotskaia, Misha Khalman, Rishabh Joshi, Livio Baldini Soares, Shoshana Jakobovits, Joshua Maynez, Shashi Narayan
Calibrating Likelihoods towards Consistency in Summarization Models. CoRR (2023)
Roee Aharoni, Shashi Narayan, Joshua Maynez, Jonathan Herzig, Elizabeth Clark, Mirella Lapata
Multilingual Summarization with Factual Consistency Evaluation. ACL (Findings) (2023)
Fantine Huot, Joshua Maynez, Chris Alberti, Reinald Kim Amplayo, Priyanka Agrawal, Constanza Fierro, Shashi Narayan, Mirella Lapata
μPLAN: Summarizing using a Content Plan as Cross-Lingual Bridge. CoRR (2023)
Polina Zablotskaia, Du Phan, Joshua Maynez, Shashi Narayan, Jie Ren, Jeremiah Z. Liu
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study. EMNLP (Findings) (2023)
Polina Zablotskaia, Du Phan, Joshua Maynez, Shashi Narayan, Jie Ren, Jeremiah Z. Liu
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study. CoRR (2023)
Fantine Huot, Joshua Maynez, Shashi Narayan, Reinald Kim Amplayo, Kuzman Ganchev, Annie Louis, Anders Sandholm, Dipanjan Das, Mirella Lapata
Text-Blueprint: An Interactive Platform for Plan-based Conditional Generation. CoRR (2023)
Shashi Narayan, Joshua Maynez, Reinald Kim Amplayo, Kuzman Ganchev, Annie Louis, Fantine Huot, Dipanjan Das, Mirella Lapata
Conditional Generation with a Question-Answering Blueprint. CoRR (2022)
Roee Aharoni, Shashi Narayan, Joshua Maynez, Jonathan Herzig, Elizabeth Clark, Mirella Lapata
mFACE: Multilingual Summarization with Factual Consistency Evaluation. CoRR (2022)
Evgeniia Razumovskaia, Joshua Maynez, Annie Louis, Mirella Lapata, Shashi Narayan
Little Red Riding Hood Goes Around the Globe: Crosslingual Story Planning and Generation with Large Language Models. CoRR (2022)
Shashi Narayan, Gonçalo Simões, Yao Zhao, Joshua Maynez, Dipanjan Das, Michael Collins, Mirella Lapata
A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation. ACL (1) (2022)
Yongtai Liu, Joshua Maynez, Gonçalo Simões, Shashi Narayan
Data Augmentation for Low-Resource Dialogue Summarization. NAACL-HLT (Findings) (2022)
Shashi Narayan, Gonçalo Simões, Yao Zhao, Joshua Maynez, Dipanjan Das, Michael Collins, Mirella Lapata
A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation. CoRR (2022)
Yao Zhao, Misha Khalman, Rishabh Joshi, Shashi Narayan, Mohammad Saleh, Peter J. Liu
Calibrating Sequence likelihood Improves Conditional Language Generation. CoRR (2022)
Reinald Kim Amplayo, Kellie Webster, Michael Collins, Dipanjan Das, Shashi Narayan
Query Refinement Prompts for Closed-Book Long-Form Question Answering. CoRR (2022)
Reinald Kim Amplayo, Peter J. Liu, Yao Zhao, Shashi Narayan
SMART: Sentences as Basic Units for Text Evaluation. CoRR (2022)
Xinnuo Xu, Ondrej Dusek, Shashi Narayan, Verena Rieser, Ioannis Konstas
MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization. CoRR (2021)
Rahul Aralikatte, Shashi Narayan, Joshua Maynez, Sascha Rothe, Ryan T. McDonald
Focus Attention: Promoting Faithfulness and Diversity in Summarization. CoRR (2021)
Xinnuo Xu, Ondrej Dusek, Shashi Narayan, Verena Rieser, Ioannis Konstas
MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization. EMNLP (Findings) (2021)
Shashi Narayan, Yao Zhao, Joshua Maynez, Gonçalo Simões, Vitaly Nikolaev, Ryan T. McDonald
Planning with Learned Entity Prompts for Abstractive Summarization. Trans. Assoc. Comput. Linguistics 9 (2021)
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
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. CoRR (2021)
Shashi Narayan, Yao Zhao, Joshua Maynez, Gonçalo Simões, Ryan T. McDonald
Planning with Entity Chains for Abstractive Summarization. CoRR (2021)
Rahul Aralikatte, Shashi Narayan, Joshua Maynez, Sascha Rothe, Ryan T. McDonald
Focus Attention: Promoting Faithfulness and Diversity in Summarization. ACL/IJCNLP (1) (2021)
Sascha Rothe, Joshua Maynez, Shashi Narayan
A Thorough Evaluation of Task-Specific Pretraining for Summarization. EMNLP (1) (2021)
Shashi Narayan, Joshua Maynez, Jakub Adámek, Daniele Pighin, Blaz Bratanic, Ryan T. McDonald
Stepwise Extractive Summarization and Planning with Structured Transformers. EMNLP (1) (2020)
Joshua Maynez, Shashi Narayan, Bernd Bohnet, Ryan T. McDonald
On Faithfulness and Factuality in Abstractive Summarization. ACL (2020)
Shashi Narayan, Gonçalo Simões, Ji Ma, Hannah Craighead, Ryan T. McDonald
QURIOUS: Question Generation Pretraining for Text Generation. CoRR (2020)
Joshua Maynez, Shashi Narayan, Bernd Bohnet, Ryan T. McDonald
On Faithfulness and Factuality in Abstractive Summarization. CoRR (2020)
Shashi Narayan, Joshua Maynez, Jakub Adámek, Daniele Pighin, Blaz Bratanic, Ryan T. McDonald
Stepwise Extractive Summarization and Planning with Structured Transformers. CoRR (2020)
Sascha Rothe, Shashi Narayan, Aliaksei Severyn
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks. Trans. Assoc. Comput. Linguistics 8 (2020)
Afonso Mendes, Shashi Narayan, Sebastião Miranda, Zita Marinho, André F. T. Martins, Shay B. Cohen
Jointly Extracting and Compressing Documents with Summary State Representations. CoRR (2019)
Hardy, Shashi Narayan, Andreas Vlachos
HighRES: Highlight-based Reference-less Evaluation of Summarization. ACL (1) (2019)
Afonso Mendes, Shashi Narayan, Sebastião Miranda, Zita Marinho, André F. T. Martins, Shay B. Cohen
Jointly Extracting and Compressing Documents with Summary State Representations. NAACL-HLT (1) (2019)
Shashi Narayan, Shay B. Cohen, Mirella Lapata
What is this Article about? Extreme Summarization with Topic-aware Convolutional Neural Networks. CoRR (2019)
Ran Tian, Shashi Narayan, Thibault Sellam, Ankur P. Parikh
Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation. CoRR (2019)
Hardy, Shashi Narayan, Andreas Vlachos
HighRES: Highlight-based Reference-less Evaluation of Summarization. CoRR (2019)
Shashi Narayan, Shay B. Cohen, Mirella Lapata
What is this Article about? Extreme Summarization with Topic-aware Convolutional Neural Networks. J. Artif. Intell. Res. 66 (2019)
Sascha Rothe, Shashi Narayan, Aliaksei Severyn
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks. CoRR (2019)
Maximin Coavoux, Shashi Narayan, Shay B. Cohen
Privacy-preserving Neural Representations of Text. EMNLP (2018)
Claire Gardent, Shashi Narayan
Deep Learning Approaches to Text Production. NAACL-HLT (Tutorial Abstracts) (2018)
Maximin Coavoux, Shashi Narayan, Shay B. Cohen
Privacy-preserving Neural Representations of Text. CoRR (2018)
Shashi Narayan, Ronald Cardenas, Nikos Papasarantopoulos, Shay B. Cohen, Mirella Lapata, Jiangsheng Yu, Yi Chang
Document Modeling with External Attention for Sentence Extraction. ACL (1) (2018)
Shashi Narayan, Shay B. Cohen, Mirella Lapata
Ranking Sentences for Extractive Summarization with Reinforcement Learning. NAACL-HLT (2018)
Shashi Narayan, Shay B. Cohen, Mirella Lapata
Ranking Sentences for Extractive Summarization with Reinforcement Learning. CoRR (2018)
Joana Ribeiro, Shashi Narayan, Shay B. Cohen, Xavier Carreras
Local String Transduction as Sequence Labeling. COLING (2018)
Shashi Narayan, Shay B. Cohen, Mirella Lapata
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization. CoRR (2018)
Shashi Narayan, Shay B. Cohen, Mirella Lapata
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization. EMNLP (2018)
Shashi Narayan, Nikos Papasarantopoulos, Mirella Lapata, Shay B. Cohen
Neural Extractive Summarization with Side Information. CoRR (2017)
Shashi Narayan, Claire Gardent, Shay B. Cohen, Anastasia Shimorina
Split and Rephrase. CoRR (2017)
Shashi Narayan, Claire Gardent, Shay B. Cohen, Anastasia Shimorina
Split and Rephrase. EMNLP (2017)
Claire Gardent, Anastasia Shimorina, Shashi Narayan, Laura Perez-Beltrachini
Creating Training Corpora for NLG Micro-Planners. ACL (1) (2017)
Claire Gardent, Anastasia Shimorina, Shashi Narayan, Laura Perez-Beltrachini
The WebNLG Challenge: Generating Text from RDF Data. INLG (2017)
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
The SUMMA Platform Prototype. EACL (Software Demonstrations) (2017)
Émilie Colin, Claire Gardent, Yassine Mrabet, Shashi Narayan, Laura Perez-Beltrachini
The WebNLG Challenge: Generating Text from DBPedia Data. INLG (2016)
Shashi Narayan, Shay B. Cohen
Optimizing Spectral Learning for Parsing. ACL (1) (2016)
Shashi Narayan, Shay B. Cohen
Optimizing Spectral Learning for Parsing. CoRR (2016)
Shashi Narayan, Claire Gardent
Unsupervised Sentence Simplification Using Deep Semantics. INLG (2016)
Dominique Osborne, Shashi Narayan, Shay B. Cohen
Encoding Prior Knowledge with Eigenword Embeddings. Trans. Assoc. Comput. Linguistics 4 (2016)
Shashi Narayan, Siva Reddy, Shay B. Cohen
Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing. INLG (2016)
Shashi Narayan, Siva Reddy, Shay B. Cohen
Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing. CoRR (2016)
Claire Gardent, Shashi Narayan
Multiple Adjunction in Feature-Based Tree-Adjoining Grammar. Comput. Linguistics 41 (1) (2015)
Shashi Narayan, Claire Gardent
Unsupervised Sentence Simplification Using Deep Semantics. CoRR (2015)
Shashi Narayan, Shay B. Cohen
Diversity in Spectral Learning for Natural Language Parsing. EMNLP (2015)
Shashi Narayan, Shay B. Cohen
Diversity in Spectral Learning for Natural Language Parsing. CoRR (2015)
Dominique Osborne, Shashi Narayan, Shay B. Cohen
Encoding Prior Knowledge with Eigenword Embeddings. CoRR (2015)
Shashi Narayan, Claire Gardent
Hybrid Simplification using Deep Semantics and Machine Translation. ACL (1) (2014)
Claire Gardent, Shashi Narayan
Generating Elliptic Coordination. ENLG (2013)
Shashi Narayan, Claire Gardent
Error Mining with Suspicion Trees: Seeing the Forest for the Trees. COLING (2012)
Claire Gardent, Shashi Narayan
Error Mining on Dependency Trees. ACL (1) (2012)
Shashi Narayan, Claire Gardent
Structure-Driven Lexicalist Generation. COLING (2012)
Sujan Kumar Saha, Shashi Narayan, Sudeshna Sarkar, Pabitra Mitra
A composite kernel for named entity recognition. Pattern Recognit. Lett. 31 (12) (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shashi Narayan