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Transcribing structured data into natural language descriptions has emerged as a challenging task, referred to as "data-to-text".
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Lebret, R., Grangier, D., Auli, M.: Neural text generation from structured data with application to the biography domain. In: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing. pp. 1203–1213. Association for Computational Linguistics, Austin, Texas (Nov 2016). https://doi.org/10.18653/v1/D16-1128, https://www.aclweb.org/anthology/D16-1128
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Wiseman, S., Shieber, S., Rush, A.: Challenges in data-to-document generation. In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. pp. 2253–2263. Association for Computational Linguistics, Copenhagen, Denmark (Sep 2017). https://doi.org/10.18653/v1/D17-1239, https://www.aclweb.org/anthology/D17-1239
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Nie, F., Wang, J., Yao, J., Pan, R., Lin, C.: Operation-guided neural networks for high fidelity data-to-text generation. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018. pp. 3879–3889 (2018), https://www.aclweb.org/anthology/D18-1422/
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Puduppully, R., Dong, L., Lapata, M.: Data-to-text generation with content selection and planning. In: AAAI (2018)
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Deng, L., Zhang, S., Balog, K.: Table2vec: Neural Word and Entity Embeddings for Table Population and Retrieval. In: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR’19. pp. 1029–1032. ACM Press, Paris, France (2019). https://doi.org/10.1145/3331184.3331333, http://dl.acm.org/citation.cfm?doid=3331184.3331333
2019
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Liu, T., Luo, F., Xia, Q., Ma, S., Chang, B., Sui, Z.: Hierarchical encoder with auxiliary supervision for neural table-to-text generation: Learning better representation for tables. Proceedings of the AAAI Conference on Artificial Intelligence 33
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Pauws, S., Gatt, A., Krahmer, E., Reiter, E.: Making Effective Use of Healthcare Data Using Data-to-Text Technology: Methodologies and Applications, pp. 119–145 (01 2019)
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Puduppully, R., Dong, L., Lapata, M.: Data-to-text generation with entity modeling. In: Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL 2019, Florence, Italy, July 28- August 2, 2019, Volume 1: Long Papers. pp. 2023–2035 (2019), https://www.aclweb.org/anthology/P19-1195/
2019
Closest in time.