Data-driven Natural Language Generation: Paving the Road to Success (original) (raw)

Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation

E. Krahmer, Albert Gatt

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A repository of data and evaluation resources for natural language generation

Albert Gatt

2012

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RoMe: A Robust Metric for Evaluating Natural Language Generation

Md Rashad Al Hasan Rony

arXiv (Cornell University), 2022

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The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics

Esin Durmus

ArXiv, 2021

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Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation

Mingkai Deng

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

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Towards evaluation in natural language generation

Robert Dale

1998

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Evaluating the state-of-the-art of End-to-End Natural Language Generation: The E2E NLG challenge

Jekaterina Novikova

Computer Speech & Language, 2019

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Introduction to the special issue on natural language generation

Robert Dale, Donia Scott, Barbara Di Eugenio

Computational Linguistics, 1998

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Natural language generation: The commercial state of the art in 2020

Robert Dale

Natural Language Engineering, 2020

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Natural Language Generation The State of the Art and the Concept of Ph

Jakub Sido

2020

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Proceedings of the Linguistic Resources for Automatic Natural Language Generation - LiRA@NLG

Kristina Kocijan

2017

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Review on Natural Language Generation

Anant A Deogaonkar

International journal of health sciences

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INLG 2008 Fifth International Natural Language Generation Conference

Albert Gatt

2008

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Towards Hybrid Human-Machine Workflow for Natural Language Generation

Tim Polzehl

2021

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Generation that exploits corpus-based statistical knowledge

Irene Langkilde-Geary

Proceedings of the 36th annual meeting on Association for Computational Linguistics -, 1998

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Natural Language Generation in Artificial Intelligence and Computational Linguistics

Cecile Paris

The Kluwer International Series in Engineering and Computer Science, 1991

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Improved Natural Language Generation via Loss Truncation

daniel kang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

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Acquiring Correct Knowledge for Natural Language Generation

Rig Hunter

Journal of Artificial Intelligence Research, 2003

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A Brief Survey on Natural Language Processing Based Text Generation and Evaluation Techniques

Sidra Minhas

2022

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Referenceless Quality Estimation for Natural Language Generation

Jekaterina Novikova

ArXiv, 2017

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Neural Language Generation: Formulation, Methods, and Evaluation

Cristina Garbacea

ArXiv, 2020

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Proceedings of the 12th European Workshop on Natural Language Generation (ENLG 2009)}

Ralf Klabunde, jette viethen, Johanna Moore, Walter Daelemans

Proceedings of the 12th European Workshop on Natural Language Generation (ENLG 2009)}, 2009

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InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation

Pierre Colombo

ArXiv, 2021

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RankME: Reliable Human Ratings for Natural Language Generation

Jekaterina Novikova

2018

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Natural Language Generation

Michael Zock

Oxford Handbooks Online, 2005

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Learning Natural Language Generation from Scratch

Guillaume QUISPE

2021

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Perturbation CheckLists for Evaluating NLG Evaluation Metrics

Tanay Dixit

ArXiv, 2021

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Evaluating and Explaining Natural Language Generation with GenX

Shivam Sharma

Proceedings of the Second Workshop on Data Science with Human in the Loop: Language Advances

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