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Shashi Narayan
Shashi Narayan
Google DeepMind
Dirección de correo verificada de google.com - Página principal
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Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...
arXiv preprint arXiv:2312.11805, 2023
22132023
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
S Narayan, SB Cohen, M Lapata
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
17032018
On Faithfulness and Factuality in Abstractive Summarization
J Maynez, S Narayan, B Bohnet, R McDonald
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
12032020
Ranking Sentences for Extractive Summarization with Reinforcement Learning
S Narayan, SB Cohen, M Lapata
The 16th Annual Conference of the North American Chapter of the Association …, 2018
7202018
Creating Training Corpora for NLG Micro-Planners
C Gardent, A Shimorina, S Narayan, L Perez-Beltrachini
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
5662017
Leveraging pre-trained checkpoints for sequence generation tasks
S Rothe, S Narayan, A Severyn
Transactions of the Association for Computational Linguistics 8, 264-280, 2020
4952020
The WebNLG challenge: Generating text from RDF data
C Gardent, A Shimorina, S Narayan, L Perez-Beltrachini
10th International Conference on Natural Language Generation, 124-133, 2017
4302017
Hybrid Simplification using Deep Semantics and Machine Translation
S Narayan, C Gardent
Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014
2102014
The GEM benchmark: Natural language generation, its evaluation and metrics
S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ...
arXiv preprint arXiv:2102.01672, 2021
1512021
Privacy-preserving Neural Representations of Text
M Coavoux, S Narayan, SB Cohen
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
1472018
Planning with Learned Entity Prompts for Abstractive Summarization
S Narayan, Y Zhao, J Maynez, G Simoes, V Nikolaev, R McDonald
Transactions of the Association for Computational Linguistics 9, 1475–1492, 2021
129*2021
Split and Rephrase
S Narayan, C Gardent, SB Cohen, A Shimorina
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
1192017
Calibrating sequence likelihood improves conditional language generation
Y Zhao, M Khalman, R Joshi, S Narayan, M Saleh, PJ Liu
Proceedings of The Eleventh International Conference on Learning …, 2023
1092023
Neural extractive summarization with side information
S Narayan, N Papasarantopoulos, SB Cohen, M Lapata
arXiv preprint arXiv:1704.04530, 2017
952017
Sticking to the facts: Confident decoding for faithful data-to-text generation
R Tian, S Narayan, T Sellam, AP Parikh
arXiv preprint arXiv:1910.08684, 2019
942019
The webnlg challenge: Generating text from dbpedia data
E Colin, C Gardent, Y M’rabet, S Narayan, L Perez
9th International Natural Language Generation conference, 163-167, 2016
692016
Jointly Extracting and Compressing Documents with Summary State Representations
A Mendes, S Narayan, S Miranda, Z Marinho, AFT Martins, SB Cohen
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
662019
Unsupervised sentence simplification using deep semantics
S Narayan, C Gardent
Proceedings of the 9th International Natural Language Generation conference …, 2016
642016
A composite kernel for named entity recognition
SK Saha, S Narayan, S Sarkar, P Mitra
Pattern Recognition Letters 31 (12), 1591-1597, 2010
562010
Focus Attention: Promoting Faithfulness and Diversity in Summarization
R Aralikatte, S Narayan, J Maynez, S Rothe, R McDonald
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
532021
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