End-to-End Content and Plan Selection for Data-to-Text Generation S Gehrmann, FZ Dai, H Elder, AM Rush arXiv preprint arXiv:1810.04700, 2018 | 88 | 2018 |
Generating High-Quality Surface Realizations Using Data Augmentation and Factored Sequence Models H Elder, C Hokamp arXiv preprint arXiv:1805.07731, 2018 | 20 | 2018 |
Designing a Symbolic Intermediate Representation for Neural Surface Realization H Elder, J Foster, J Barry, A O'Connor arXiv preprint arXiv:1905.10486, 2019 | 17 | 2019 |
E2E NLG Challenge Submission: Towards Controllable Generation of Diverse Natural Language H Elder, S Gehrmann, A O'Connor, Q Liu Proceedings of the 11th International Conference on Natural Language …, 2018 | 17 | 2018 |
How to Make Neural Natural Language Generation as Reliable as Templates in Task-Oriented Dialogue H Elder, A O’Connor, J Foster Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 9 | 2020 |
ADAPT at SR’20: How Preprocessing and Data Augmentation Help to Improve Surface Realization H Elder Proceedings of the Third Workshop on Multilingual Surface Realisation, 30-34, 2020 | 5 | 2020 |
Shape of synth to come: Why we should use synthetic data for English surface realization H Elder, R Burke, A O'Connor, J Foster arXiv preprint arXiv:2005.02693, 2020 | 4 | 2020 |
Building reliable surface realization systems with sentence plans H Elder Dublin City University, 2022 | | 2022 |