Shashi Narayan

81 papers A* 7B 7Journal 41Unranked 24

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