Funder
Turkish National Science Foundation (Tübitak
Publisher
Springer Science and Business Media LLC
Subject
Human-Computer Interaction,Economics, Econometrics and Finance (miscellaneous)
Reference35 articles.
1. Almasharawi, M., & Bulut, A. (2022). Estimating user response rate using locality sensitive hashing in search marketing. Electronic Commerce Research, 22, 37–51.
2. Ravi, S., Broder, A., Gabrilovich, E., Josifovski, V., Pandey, S., & Pang, B.(2010)Automatic generation of bid phrases for online advertising. In: Proceedings of the 3rd International Conference on Web Search and Web Data Mining, WSDM 2010, pp. 341–350 . https://doi.org/10.1145/1718487.1718530
3. Zhang, Y., Gan, Z., & Carin, L.(2016) Generating text via adversarial training.
4. Rothe, S., Narayan, S., & Severyn, A. (2020). Leveraging pre-trained checkpoints for sequence generation tasks. Transactions of the Association for Computational Linguistics, 8, 264–280.
5. Zhang, J., Zhao, Y., Saleh, M., & Liu, P.J.(2019) PEGASUS: pre-training with extracted gap-sentences for abstractive summarization. CoRR abs/1912.08777
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