Enhancing Email Urgency Reply Prediction with ATAN-Transformer Fusion
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-62281-6_10
Reference13 articles.
1. Ayodele, T., Shoniregun, C.A., Zhou, S.: Email urgency reply prediction. In: International Conference on Information Society (i-Society 2011), London, UK, pp. 418–422 (2011)
2. Alibadi, Z., Vidal, J.M.: To Read or To Do? That’s the task: using transfer learning to detect the intent of an email. In: 2018 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, USA, pp. 1105–1110 (2018)
3. Cho, T.: Linguistic features of electronic mail in the workplace: a comparison with memoranda. Language@Internet 7, article 3 (2010)
4. Feng, Y., Naeem, M.A., Mirza, F., Tahir, A.: Reply using past replies—a deep learning-based e-mail client. Electronics 9(9) (2020). ISSN 2079–9292
5. Vinitha, V.S., Renuka, D.K., Kumar, L.A.: Long short-term memory networks for email spam classification. In: 2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS), pp. 176–180. Coimbatore, India (2023)
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