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Computer Science > Computation and Language

arXiv:2306.12719 (cs)
[Submitted on 22 Jun 2023]

Title:Natural Language Generation for Advertising: A Survey

Authors:Soichiro Murakami, Sho Hoshino, Peinan Zhang
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Abstract:Natural language generation methods have emerged as effective tools to help advertisers increase the number of online advertisements they produce. This survey entails a review of the research trends on this topic over the past decade, from template-based to extractive and abstractive approaches using neural networks. Additionally, key challenges and directions revealed through the survey, including metric optimization, faithfulness, diversity, multimodality, and the development of benchmark datasets, are discussed.
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2306.12719 [cs.CL]
  (or arXiv:2306.12719v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2306.12719

Submission history

From: Soichiro Murakami [view email]
[v1] Thu, 22 Jun 2023 07:52:34 UTC (1,582 KB)
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