CAMERA3: An Evaluation Dataset for Controllable Ad Text Generation in Japanese

Document Type

Conference Proceeding

Publication Title

2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings

Abstract

Ad text generation is the task of creating compelling text from an advertising asset that describes products or services, such as a landing page. In advertising, diversity plays an important role in enhancing the effectiveness of an ad text, mitigating a phenomenon called “ad fatigue,” where users become disengaged due to repetitive exposure to the same advertisement. Despite numerous efforts in ad text generation, the aspect of diversifying ad texts has received limited attention, particularly in non-English languages like Japanese. To address this, we present CAMERA3, an evaluation dataset for controllable text generation in the advertising domain in Japanese. Our dataset includes 3,980 ad texts written by expert annotators, taking into account various aspects of ad appeals. We make CAMERA3 publicly available, allowing researchers to examine the capabilities of recent NLG models in controllable text generation in a real-world scenario.

First Page

2702

Last Page

2707

Publication Date

1-1-2024

Keywords

ad text generation, annotation, controllable text generation, Japanese

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