Triple-to-Text (original) (raw)
Related papers
Natural Language Generation from Knowledge-Base Triples
2021
Improved Natural Language Generation via Loss Truncation
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
ENT-DESC: Entity Description Generation by Exploring Knowledge Graph
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
GTR-LSTM: A Triple Encoder for Sentence Generation from RDF Data
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Building RDF Content for Data-to-Text Generation
2016
Knowledge Graph Empowered Entity Description Generation
ArXiv, 2020
Learning Natural Language Generation from Scratch
2021
Generating Natural Language from Linked Data
2013
Evaluating the state-of-the-art of End-to-End Natural Language Generation: The E2E NLG challenge
Computer Speech & Language, 2019
Triples-to-Text Generation with Reinforcement Learning Based Graph-augmented Neural Networks
Cornell University - arXiv, 2021
Search and Learn: Improving Semantic Coverage for Data-to-Text Generation
Proceedings of the AAAI Conference on Artificial Intelligence
End-to-End Content and Plan Selection for Data-to-Text Generation
Proceedings of the 11th International Conference on Natural Language Generation
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
ArXiv, 2021
RDF-to-Text Generation with Graph-augmented Structural Neural Encoders
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
End-to-End Content and Plan Selection for Natural Language Generation
2018
Generating Natural Language from Linked Data: Unsupervised template extraction
RoMe: A Robust Metric for Evaluating Natural Language Generation
arXiv (Cornell University), 2022
The WebNLG Challenge: Generating Text from RDF Data
Proceedings of the 10th International Conference on Natural Language Generation, 2017
Data-driven Natural Language Generation: Paving the Road to Success
ArXiv, 2017
Improving Data-to-Text Generation via Preserving High-Frequency Phrases and Fact-Checking
IJCoL, 2021
Data-driven sentence generation with non-isomorphic trees
Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2015
IIT (BHU) Varanasi at MSR-SRST 2018: A Language Model Based Approach for Natural Language Generation
Proceedings of the First Workshop on Multilingual Surface Realisation
Classifiers for data-driven deep sentence generation
2014
Building Hierarchically Disentangled Language Models for Text Generation with Named Entities
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Text-to-Text Generation for Question Answering
Interactive Multi-modal Question-Answering, 2011
Review on Natural Language Generation
International journal of health sciences
Robust natural language generation from large-scale knowledge bases
1995
Neural Language Generation: Formulation, Methods, and Evaluation
ArXiv, 2020
DART: Open-Domain Structured Data Record to Text Generation
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 2nd Workshop on Multilingual Surface Realisation (MSR 2019)
Generation that exploits corpus-based statistical knowledge
Proceedings of the 36th annual meeting on Association for Computational Linguistics -, 1998