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2020 – today
- 2024
[c38]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: 11397-11417- [c37]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: 10616-10631 - [c36]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: 2146-2163 - [i34]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 abs/2404.03381 (2024) - 2023
- [j7]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: 974-996 (2023) - [c35]Roee Aharoni, Shashi Narayan, Joshua Maynez, Jonathan Herzig, Elizabeth Clark, Mirella Lapata:
Multilingual Summarization with Factual Consistency Evaluation. ACL (Findings) 2023: 3562-3591 - [c34]Reinald Kim Amplayo, Kellie Webster, Michael Collins, Dipanjan Das, Shashi Narayan:
Query Refinement Prompts for Closed-Book Long-Form QA. ACL (1) 2023: 7997-8012 - [c33]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: 105-116 - [c32]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: 2980-2992 - [c31]Reinald Kim Amplayo, Peter J. Liu, Yao Zhao, Shashi Narayan:
SMART: Sentences as Basic Units for Text Evaluation. ICLR 2023 - [c30]Yao Zhao, Misha Khalman, Rishabh Joshi, Shashi Narayan, Mohammad Saleh, Peter J. Liu:
Calibrating Sequence likelihood Improves Conditional Language Generation. ICLR 2023 - [i33]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 abs/2304.08653 (2023) - [i32]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 abs/2305.00034 (2023) - [i31]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 abs/2305.14205 (2023) - [i30]Polina Zablotskaia, Misha Khalman, Rishabh Joshi, Livio Baldini Soares, Shoshana Jakobovits, Joshua Maynez, Shashi Narayan:
Calibrating Likelihoods towards Consistency in Summarization Models. CoRR abs/2310.08764 (2023) - 2022
- [c29]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: 1319-1339 - [c28]Yongtai Liu, Joshua Maynez, Gonçalo Simões, Shashi Narayan:
Data Augmentation for Low-Resource Dialogue Summarization. NAACL-HLT (Findings) 2022: 703-710 - [i29]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 abs/2203.15108 (2022) - [i28]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 abs/2207.00397 (2022) - [i27]Reinald Kim Amplayo, Peter J. Liu, Yao Zhao, Shashi Narayan:
SMART: Sentences as Basic Units for Text Evaluation. CoRR abs/2208.01030 (2022) - [i26]Yao Zhao, Misha Khalman, Rishabh Joshi
, Shashi Narayan, Mohammad Saleh, Peter J. Liu:
Calibrating Sequence likelihood Improves Conditional Language Generation. CoRR abs/2210.00045 (2022) - [i25]Reinald Kim Amplayo, Kellie Webster, Michael Collins, Dipanjan Das, Shashi Narayan:
Query Refinement Prompts for Closed-Book Long-Form Question Answering. CoRR abs/2210.17525 (2022) - [i24]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 abs/2212.10471 (2022) - [i23]Roee Aharoni, Shashi Narayan, Joshua Maynez, Jonathan Herzig, Elizabeth Clark, Mirella Lapata:
mFACE: Multilingual Summarization with Factual Consistency Evaluation. CoRR abs/2212.10622 (2022) - 2021
- [j6]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: 1475-1492 (2021) - [c27]Rahul Aralikatte, Shashi Narayan, Joshua Maynez, Sascha Rothe, Ryan T. McDonald:
Focus Attention: Promoting Faithfulness and Diversity in Summarization. ACL/IJCNLP (1) 2021: 6078-6095 - [c26]Sascha Rothe, Joshua Maynez, Shashi Narayan:
A Thorough Evaluation of Task-Specific Pretraining for Summarization. EMNLP (1) 2021: 140-145 - [c25]Xinnuo Xu, Ondrej Dusek, Shashi Narayan, Verena Rieser, Ioannis Konstas:
MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization. EMNLP (Findings) 2021: 1541-1552 - [i22]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 abs/2102.01672 (2021) - [i21]Shashi Narayan, Yao Zhao, Joshua Maynez, Gonçalo Simões, Ryan T. McDonald:
Planning with Entity Chains for Abstractive Summarization. CoRR abs/2104.07606 (2021) - [i20]Rahul Aralikatte, Shashi Narayan, Joshua Maynez, Sascha Rothe, Ryan T. McDonald:
Focus Attention: Promoting Faithfulness and Diversity in Summarization. CoRR abs/2105.11921 (2021) - [i19]Xinnuo Xu, Ondrej Dusek, Shashi Narayan, Verena Rieser, Ioannis Konstas:
MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization. CoRR abs/2109.10650 (2021) - 2020
- [b2]Shashi Narayan, Claire Gardent:
Deep Learning Approaches to Text Production. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2020, ISBN 978-3-031-01045-3 - [j5]Sascha Rothe, Shashi Narayan, Aliaksei Severyn:
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks. Trans. Assoc. Comput. Linguistics 8: 264-280 (2020) - [c24]Joshua Maynez, Shashi Narayan, Bernd Bohnet, Ryan T. McDonald:
On Faithfulness and Factuality in Abstractive Summarization. ACL 2020: 1906-1919 - [c23]Shashi Narayan, Joshua Maynez, Jakub Adámek, Daniele Pighin, Blaz Bratanic, Ryan T. McDonald:
Stepwise Extractive Summarization and Planning with Structured Transformers. EMNLP (1) 2020: 4143-4159 - [i18]Shashi Narayan, Gonçalo Simões, Ji Ma, Hannah Craighead, Ryan T. McDonald:
QURIOUS: Question Generation Pretraining for Text Generation. CoRR abs/2004.11026 (2020) - [i17]Joshua Maynez, Shashi Narayan, Bernd Bohnet, Ryan T. McDonald:
On Faithfulness and Factuality in Abstractive Summarization. CoRR abs/2005.00661 (2020) - [i16]Shashi Narayan, Joshua Maynez, Jakub Adámek, Daniele Pighin, Blaz Bratanic, Ryan T. McDonald:
Stepwise Extractive Summarization and Planning with Structured Transformers. CoRR abs/2010.02744 (2020)
2010 – 2019
- 2019
- [j4]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: 243-278 (2019) - [c22]Hardy, Shashi Narayan, Andreas Vlachos:
HighRES: Highlight-based Reference-less Evaluation of Summarization. ACL (1) 2019: 3381-3392 - [c21]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: 3955-3966 - [i15]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 abs/1904.02020 (2019) - [i14]Hardy, Shashi Narayan, Andreas Vlachos:
HighRES: Highlight-based Reference-less Evaluation of Summarization. CoRR abs/1906.01361 (2019) - [i13]Shashi Narayan, Shay B. Cohen, Mirella Lapata:
What is this Article about? Extreme Summarization with Topic-aware Convolutional Neural Networks. CoRR abs/1907.08722 (2019) - [i12]Sascha Rothe, Shashi Narayan, Aliaksei Severyn:
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks. CoRR abs/1907.12461 (2019) - [i11]Ran Tian, Shashi Narayan, Thibault Sellam, Ankur P. Parikh:
Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation. CoRR abs/1910.08684 (2019) - 2018
- [c20]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: 2020-2030 - [c19]Joana Ribeiro, Shashi Narayan, Shay B. Cohen, Xavier Carreras:
Local String Transduction as Sequence Labeling. COLING 2018: 1360-1371 - [c18]Maximin Coavoux, Shashi Narayan, Shay B. Cohen:
Privacy-preserving Neural Representations of Text. EMNLP 2018: 1-10 - [c17]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: 1797-1807 - [c16]Claire Gardent, Shashi Narayan:
Deep Learning Approaches to Text Production. NAACL-HLT (Tutorial Abstracts) 2018: 4-9 - [c15]Shashi Narayan, Shay B. Cohen, Mirella Lapata:
Ranking Sentences for Extractive Summarization with Reinforcement Learning. NAACL-HLT 2018: 1747-1759 - [i10]Shashi Narayan, Shay B. Cohen, Mirella Lapata:
Ranking Sentences for Extractive Summarization with Reinforcement Learning. CoRR abs/1802.08636 (2018) - [i9]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 abs/1808.08745 (2018) - [i8]Maximin Coavoux, Shashi Narayan, Shay B. Cohen:
Privacy-preserving Neural Representations of Text. CoRR abs/1808.09408 (2018) - 2017
- [c14]Claire Gardent, Anastasia Shimorina, Shashi Narayan, Laura Perez-Beltrachini:
Creating Training Corpora for NLG Micro-Planners. ACL (1) 2017: 179-188 - [c13]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: 116-119 - [c12]Shashi Narayan, Claire Gardent, Shay B. Cohen, Anastasia Shimorina:
Split and Rephrase. EMNLP 2017: 606-616 - [c11]Claire Gardent, Anastasia Shimorina, Shashi Narayan, Laura Perez-Beltrachini:
The WebNLG Challenge: Generating Text from RDF Data. INLG 2017: 124-133 - [i7]Shashi Narayan, Nikos Papasarantopoulos, Mirella Lapata, Shay B. Cohen:
Neural Extractive Summarization with Side Information. CoRR abs/1704.04530 (2017) - [i6]Shashi Narayan, Claire Gardent, Shay B. Cohen, Anastasia Shimorina:
Split and Rephrase. CoRR abs/1707.06971 (2017) - 2016
- [j3]Dominique Osborne, Shashi Narayan, Shay B. Cohen:
Encoding Prior Knowledge with Eigenword Embeddings. Trans. Assoc. Comput. Linguistics 4: 417-430 (2016) - [c10]Shashi Narayan, Shay B. Cohen:
Optimizing Spectral Learning for Parsing. ACL (1) 2016 - [c9]Shashi Narayan, Claire Gardent:
Unsupervised Sentence Simplification Using Deep Semantics. INLG 2016: 111-120 - [c8]Shashi Narayan, Siva Reddy, Shay B. Cohen:
Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing. INLG 2016: 153-162 - [c7]Émilie Colin, Claire Gardent, Yassine Mrabet, Shashi Narayan, Laura Perez-Beltrachini:
The WebNLG Challenge: Generating Text from DBPedia Data. INLG 2016: 163-167 - [i5]Shashi Narayan, Siva Reddy, Shay B. Cohen:
Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing. CoRR abs/1601.06068 (2016) - [i4]Shashi Narayan, Shay B. Cohen:
Optimizing Spectral Learning for Parsing. CoRR abs/1606.02342 (2016) - 2015
- [j2]Claire Gardent, Shashi Narayan:
Multiple Adjunction in Feature-Based Tree-Adjoining Grammar. Comput. Linguistics 41(1): 41-70 (2015) - [c6]Shashi Narayan, Shay B. Cohen:
Diversity in Spectral Learning for Natural Language Parsing. EMNLP 2015: 1868-1878 - [i3]Shashi Narayan, Shay B. Cohen:
Diversity in Spectral Learning for Natural Language Parsing. CoRR abs/1506.00275 (2015) - [i2]Shashi Narayan, Claire Gardent:
Unsupervised Sentence Simplification Using Deep Semantics. CoRR abs/1507.08452 (2015) - [i1]Dominique Osborne, Shashi Narayan, Shay B. Cohen:
Encoding Prior Knowledge with Eigenword Embeddings. CoRR abs/1509.01007 (2015) - 2014
- [b1]Shashi Narayan:
Generating and Simplifying Sentences. (Génération et Simplification de Phrases). University of Lorraine, Nancy, France, 2014 - [c5]Shashi Narayan, Claire Gardent:
Hybrid Simplification using Deep Semantics and Machine Translation. ACL (1) 2014: 435-445 - 2013
- [c4]Claire Gardent, Shashi Narayan:
Generating Elliptic Coordination. ENLG 2013: 40-50 - 2012
- [c3]Claire Gardent, Shashi Narayan:
Error Mining on Dependency Trees. ACL (1) 2012: 592-600 - [c2]Shashi Narayan, Claire Gardent:
Error Mining with Suspicion Trees: Seeing the Forest for the Trees. COLING 2012: 2011-2026 - [c1]Shashi Narayan, Claire Gardent:
Structure-Driven Lexicalist Generation. COLING 2012: 2027-2042 - 2010
- [j1]Sujan Kumar Saha, Shashi Narayan, Sudeshna Sarkar, Pabitra Mitra:
A composite kernel for named entity recognition. Pattern Recognit. Lett. 31(12): 1591-1597 (2010)
Coauthor Index
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