Automatic video clip and mixing based on semantic sentence matching
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03226-8.pdf
Reference34 articles.
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3. Conneau A, Kiela D, Schwenk H, Barrault L, Bordes A (2017) Supervised learning of universal sentence representations from natural language inference data. Association for Computational Linguistics, pp 670–680
4. Álvarez-Carmona M A, Franco-Salvador M, Villatoro-Tello E, Montes-y Gómez M, Rosso P, Villaseñor-Pineda L (2018) Semantically-informed distance and similarity measures for paraphrase plagiarism identification. J Intell Fuzzy Syst 34(5):2983–2990
5. Choi E, Hewlett D, Uszkoreit J, Polosukhin I, Lacoste A, Berant J (2017) Coarse-to-fine question answering for long documents. In: Proceedings of the 55th annual meeting of the association for computational linguistics (Volume 1: Long Papers), pp 209–220
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