A composite kernel for named entity recognition. - Sujan Kumar Saha; Shashi Narayan; Sudeshna Sarkar; Pabitra Mitra (Pattern Recognit. Lett., 2010)

Error Mining on Dependency Trees. - Claire Gardent; Shashi Narayan (ACL (1), 2012)

Error Mining with Suspicion Trees: Seeing the Forest for the Trees. - Shashi Narayan; Claire Gardent (COLING, 2012)

Structure-Driven Lexicalist Generation. - Shashi Narayan; Claire Gardent (COLING, 2012)

Generating Elliptic Coordination. - Claire Gardent; Shashi Narayan (ENLG, 2013)

Hybrid Simplification using Deep Semantics and Machine Translation. - Shashi Narayan; Claire Gardent (ACL (1), 2014)

Generating and Simplifying Sentences. (Génération et Simplification de Phrases). - Shashi Narayan (2014)

Diversity in Spectral Learning for Natural Language Parsing. - Shashi Narayan; Shay B. Cohen (EMNLP, 2015)

Multiple Adjunction in Feature-Based Tree-Adjoining Grammar. - Claire Gardent; Shashi Narayan (Comput. Linguistics, 2015)

Optimizing Spectral Learning for Parsing. - Shashi Narayan; Shay B. Cohen (ACL (1), 2016)

The WebNLG Challenge: Generating Text from DBPedia Data. - Émilie Colin; Claire Gardent; Yassine Mrabet; Shashi Narayan; Laura Perez-Beltrachini (INLG, 2016)

Unsupervised Sentence Simplification Using Deep Semantics. - Shashi Narayan; Claire Gardent (INLG, 2016)

Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing. - Shashi Narayan; Siva Reddy; Shay B. Cohen (INLG, 2016)

Encoding Prior Knowledge with Eigenword Embeddings. - Dominique Osborne; Shashi Narayan; Shay B. Cohen (Trans. Assoc. Comput. Linguistics, 2016)

Creating Training Corpora for NLG Micro-Planners. - Claire Gardent; Anastasia Shimorina; Shashi Narayan; Laura Perez-Beltrachini (ACL (1), 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 001; Alexandros Lazaridis; et al. (EACL (Software Demonstrations), 2017)

Split and Rephrase. - Shashi Narayan; Claire Gardent; Shay B. Cohen; Anastasia Shimorina (EMNLP, 2017)

The WebNLG Challenge: Generating Text from RDF Data. - Claire Gardent; Anastasia Shimorina; Shashi Narayan; Laura Perez-Beltrachini (INLG, 2017)

Neural Extractive Summarization with Side Information. - Shashi Narayan; Nikos Papasarantopoulos; Mirella Lapata; Shay B. Cohen (CoRR, 2017)

Document Modeling with External Attention for Sentence Extraction. - Shashi Narayan; Ronald Cardenas; Nikos Papasarantopoulos; Shay B. Cohen; Mirella Lapata; Jiangsheng Yu; Yi Chang 001 (ACL (1), 2018)

Local String Transduction as Sequence Labeling. - Joana Ribeiro; Shashi Narayan; Shay B. Cohen; Xavier Carreras (COLING, 2018)

Privacy-preserving Neural Representations of Text. - Maximin Coavoux; Shashi Narayan; Shay B. Cohen (EMNLP, 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 (EMNLP, 2018)

Deep Learning Approaches to Text Production. - Claire Gardent; Shashi Narayan (NAACL-HLT (Tutorial Abstracts), 2018)

Ranking Sentences for Extractive Summarization with Reinforcement Learning. - Shashi Narayan; Shay B. Cohen; Mirella Lapata (NAACL-HLT, 2018)

HighRES: Highlight-based Reference-less Evaluation of Summarization. - Hardy; Shashi Narayan; Andreas Vlachos 001 (ACL (1), 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 (NAACL-HLT (1), 2019)

Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation. - Ran Tian; Shashi Narayan; Thibault Sellam; Ankur P. Parikh (CoRR, 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)

On Faithfulness and Factuality in Abstractive Summarization. - Joshua Maynez; Shashi Narayan; Bernd Bohnet; Ryan T. McDonald (ACL, 2020)

Stepwise Extractive Summarization and Planning with Structured Transformers. - Shashi Narayan; Joshua Maynez; Jakub Adámek; Daniele Pighin; Blaz Bratanic; Ryan T. McDonald (EMNLP (1), 2020)

QURIOUS: Question Generation Pretraining for Text Generation. - Shashi Narayan; Gonçalo Simões; Ji Ma 004; Hannah Craighead; Ryan T. McDonald (CoRR, 2020)

Leveraging Pre-trained Checkpoints for Sequence Generation Tasks. - Sascha Rothe; Shashi Narayan; Aliaksei Severyn (Trans. Assoc. Comput. Linguistics, 2020)

Deep Learning Approaches to Text Production - Shashi Narayan; Claire Gardent (Morgan & Claypool Publishers, 2020)

Focus Attention: Promoting Faithfulness and Diversity in Summarization. - Rahul Aralikatte; Shashi Narayan; Joshua Maynez; Sascha Rothe; Ryan T. McDonald (ACL/IJCNLP (1), 2021)

A Thorough Evaluation of Task-Specific Pretraining for Summarization. - Sascha Rothe; Joshua Maynez; Shashi Narayan (EMNLP (1), 2021)

MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization. - Xinnuo Xu; Ondrej Dusek; Shashi Narayan; Verena Rieser; Ioannis Konstas (EMNLP (Findings), 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 001; Kaustubh D. Dhole; Wanyu Du; Esin Durmus; et al. (CoRR, 2021)

Planning with Entity Chains for Abstractive Summarization. - Shashi Narayan; Yao Zhao; Joshua Maynez; Gonçalo Simões; Ryan T. McDonald (CoRR, 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)

A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation. - Shashi Narayan; Gonçalo Simões; Yao Zhao; Joshua Maynez; Dipanjan Das 001; Michael Collins 001; Mirella Lapata (ACL (1), 2022)

Data Augmentation for Low-Resource Dialogue Summarization. - Yongtai Liu; Joshua Maynez; Gonçalo Simões; Shashi Narayan (NAACL-HLT (Findings), 2022)

Conditional Generation with a Question-Answering Blueprint. - Shashi Narayan; Joshua Maynez; Reinald Kim Amplayo; Kuzman Ganchev; Annie Louis; Fantine Huot; Dipanjan Das 001; Mirella Lapata (CoRR, 2022)

Query Refinement Prompts for Closed-Book Long-Form Question Answering. - Reinald Kim Amplayo; Kellie Webster; Michael Collins 001; Dipanjan Das 001; Shashi Narayan (CoRR, 2022)

mFACE: Multilingual Summarization with Factual Consistency Evaluation. - Roee Aharoni; Shashi Narayan; Joshua Maynez; Jonathan Herzig; Elizabeth Clark; Mirella Lapata (CoRR, 2022)

Multilingual Summarization with Factual Consistency Evaluation. - Roee Aharoni; Shashi Narayan; Joshua Maynez; Jonathan Herzig; Elizabeth Clark; Mirella Lapata (ACL (Findings), 2023)

Query Refinement Prompts for Closed-Book Long-Form QA. - Reinald Kim Amplayo; Kellie Webster; Michael Collins 001; Dipanjan Das 001; Shashi Narayan (ACL (1), 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 001; Dipanjan Das 001; Mirella Lapata (EACL (System Demonstrations), 2023)

On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study. - Polina Zablotskaia; Du Phan; Joshua Maynez; Shashi Narayan; Jie Ren 006; Jeremiah Z. Liu (EMNLP (Findings), 2023)

SMART: Sentences as Basic Units for Text Evaluation. - Reinald Kim Amplayo; Peter J. Liu; Yao Zhao; Shashi Narayan (ICLR, 2023)

Calibrating Sequence likelihood Improves Conditional Language Generation. - Yao Zhao; Misha Khalman; Rishabh Joshi; Shashi Narayan; Mohammad Saleh; Peter J. Liu (ICLR, 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)

Conditional Generation with a Question-Answering Blueprint. - Shashi Narayan; Joshua Maynez; Reinald Kim Amplayo; Kuzman Ganchev; Annie Louis; Fantine Huot; Anders Sandholm 001; Dipanjan Das 001; Mirella Lapata (Trans. Assoc. Comput. Linguistics, 2023)

Learning to Plan and Generate Text with Citations. - Constanza Fierro; Reinald Kim Amplayo; Fantine Huot; Nicola De Cao; Joshua Maynez; Shashi Narayan; Mirella Lapata (ACL (1), 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 (LREC/COLING, 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 (EACL (1), 2024)