AutoTGRL: an automatic text-graph representation learning framework
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-09226-0.pdf
Reference78 articles.
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2. Li X, Bing L, Li P, Lam W (2019) A unified model for opinion target extraction and target sentiment prediction. In: Proceedings of the AAAI conference on artificial intelligence, vol 33, pp 6714–6721. https://doi.org/10.1609/aaai.v33i01.33016714
3. Song R, Giunchiglia F, Zhao K, Tian M, Xu H (2022) Graph topology enhancement for text classification. Appl Intell 52(13):15091–15104. https://doi.org/10.1007/s10489-021-03113-8
4. Tran T, Kavuluru R (2019) Neural metric learning for fast end-to-end relation extraction. arXiv preprint. arXiv:1905.07458
5. Bekoulis G, Deleu J, Demeester T, Develder C (2018) Adversarial training for multi-context joint entity and relation extraction. In: Proceedings of the 2018 conference on empirical methods in natural language processing, pp 2830–2836. https://doi.org/10.18653/v1/d18-1307
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