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In this paper, we introduce SciGen, a new challenge dataset for the task of reasoning-aware data-to-text generation consisting of tables from scientific articles and their corresponding descriptions.
Improving generalization by incorporating coverage in natural language inference
Nafise Sadat Moosavi, Prasetya Ajie Utama, Andreas Rücklé, and Iryna Gurevych. 2019 · 1909
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Huggingface’s transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush. 2019 · 1910
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Building natural language generation systems
Ehud Reiter and Robert Dale. 2000 · 2000
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Dart: Open-domain structured data record to text generation
Dragomir Radev, Rui Zhang, Amrit Rau, Abhinand Sivaprasad, Chiachun Hsieh, Nazneen Fatema Rajani, Xiangru Tang, Aadit Vyas, Neha Verma, Pranav Krishna, et al. 2020 · 2007
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Investigating pretrained language models for graph-to-text generation
Leonardo FR Ribeiro, Martin Schmitt, Hinrich Schütze, and Iryna Gurevych. 2020 · 2007
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Automatic generation of weather forecast texts using comprehensive probabilistic generation-space models
Anja Belz. 2008 · 2008
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Learning to sportscast: a test of grounded language acquisition
David L Chen and Raymond J Mooney. 2008 · 2008
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The first surface realisation shared task: Overview and evaluation results
Anja Belz, Mike White, Dominic Espinosa, Eric Kow, Deirdre Hogan, and Amanda Stent. 2011 · 2011
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Meteor universal: Language specific translation evaluation for any target language
Michael Denkowski and Alon Lavie. 2014 · 2014
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Neural text generation from structured data with application to the biography domain
Rémi Lebret, David Grangier, and Michael Auli. 2016 · 2016
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The WebNLG challenge: Generating text from RDF data
Claire Gardent, Anastasia Shimorina, Shashi Narayan, and Laura Perez-Beltrachini. 2017 · 2017
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PASS: A Dutch data-to-text system for soccer, targeted towards specific audiences
Chris van der Lee, Emiel Krahmer, and Sander Wubben. 2017 · 2017
Cited alongside, same era.
Challenges in data-to-document generation
Sam Wiseman, Stuart Shieber, and Alexander Rush. 2017 · 2017
Cited alongside, same era.
Findings of the E2E NLG challenge
Ondřej Dušek, Jekaterina Novikova, and Verena Rieser. 2018 · 2018
Cited alongside, same era.
Survey of the state of the art in natural language generation: Core tasks, applications and evaluation
Albert Gatt and Emiel Krahmer. 2018 · 2018
Cited alongside, same era.
Generating descriptions from structured data using a bifocal attention mechanism and gated orthogonalization
Preksha Nema, Shreyas Shetty, Parag Jain, Anirban Laha, Karthik Sankaranarayanan, and Mitesh M. Khapra. 2018 · 2018
Cited alongside, same era.
Controlling personality-based stylistic variation with neural natural language generators
Text Generation from Knowledge Graphs with Graph Transformers
Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, Mirella Lapata, and Hannaneh Hajishirzi. 2019 · 2019
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When a good translation is wrong in context: Context-aware machine translation improves on deixis, ellipsis, and lexical cohesion
Elena Voita, Rico Sennrich, and Ivan Titov. 2019 · 2019
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MoverScore: Text generation evaluating with contextualized embeddings and earth mover distance
Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, and Steffen Eger. 2019 · 2019
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Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge
Ondřej Dušek, Jekaterina Novikova, and Verena Rieser. 2020 · 2020
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Axcell: Automatic extraction of results from machine learning papers
Marcin Kardas, Piotr Czapla, Pontus Stenetorp, Sebastian Ruder, Sebastian Riedel, Ross Taylor, and Robert Stojnic. 2020 · 2020
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Shereen Oraby, Lena Reed, Shubhangi Tandon, Sharath T.S., Stephanie Lukin, and Marilyn Walker. 2018 · 2018
Cited alongside, same era.
A call for clarity in reporting BLEU scores
Matt Post. 2018 · 2018
Cited alongside, same era.
Generation of company descriptions using concept-to-text and text-to-text deep models: dataset collection and systems evaluation
Raheel Qader, Khoder Jneid, François Portet, and Cyril Labbé. 2018 · 2018
Cited alongside, same era.
Can neural generators for dialogue learn sentence planning and discourse structuring?
Lena Reed, Shereen Oraby, and Marilyn Walker. 2018 · 2018
Cited alongside, same era.
Describing a knowledge base
Qingyun Wang, Xiaoman Pan, Lifu Huang, Boliang Zhang, Zhiying Jiang, Heng Ji, and Kevin Knight. 2018 · 2018
Cited alongside, same era.
Constrained decoding for neural NLG from compositional representations in task-oriented dialogue
Anusha Balakrishnan, Jinfeng Rao, Kartikeya Upasani, Michael White, and Rajen Subba. 2019 · 2019
Cited alongside, same era.
Logical natural language generation from open-domain tables
Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen, and William Yang Wang. 2020a
Cited in the paper.
BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
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Totto: A controlled table-to-text generation dataset
Ankur P Parikh, Xuezhi Wang, Sebastian Gehrmann, Manaal Faruqui, Bhuwan Dhingra, Diyi Yang, and Dipanjan Das. 2020 · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020 · 2020
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BLEURT: Learning robust metrics for text generation
Thibault Sellam, Dipanjan Das, and Ankur Parikh. 2020 · 2020
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Sportsett: Basketball - a robust and maintainable dataset for natural language generation
Craig Thomson, Ehud Reiter, and Somayajulu Sripada. 2020 · 2020
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BERTScore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. 2020 · 2020
Later among the works it cites.