Natural Language Generation for Advertising: A Survey
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- MURAKAMI Soichiro
- CyberAgent, Inc.
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- HOSHINO Sho
- CyberAgent, Inc.
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- ZHANG Peinan
- CyberAgent, Inc.
Bibliographic Information
- Other Title
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- 広告文自動生成に関する最近の研究動向
Abstract
<p>Natural language generation for advertising emerges as an effective tool that helps the advertisers to strive for an increasing number of online ads. In this survey paper, we overview the research trends in the past decade including template-based methods and neural generation models. We also discuss the key challenges and directions for future work such as faithful generation, utilization of multimodal information, and development of benchmark datasets.</p>
Journal
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- Proceedings of the Annual Conference of JSAI
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Proceedings of the Annual Conference of JSAI JSAI2022 (0), 1P5GS601-1P5GS601, 2022
The Japanese Society for Artificial Intelligence
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Details 詳細情報について
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- CRID
- 1390855656045549312
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- Text Lang
- ja
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- Data Source
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- JaLC
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- Abstract License Flag
- Disallowed