Search Results for author: Soichiro Murakami

Found 7 papers, 2 papers with code

Cross-lingual Transfer or Machine Translation? On Data Augmentation for Monolingual Semantic Textual Similarity

no code implementations8 Mar 2024 Sho Hoshino, Akihiko Kato, Soichiro Murakami, Peinan Zhang

Rather, we find a superiority of the Wikipedia domain over the NLI domain for these languages, in contrast to prior studies that focused on NLI as training data.

Cross-Lingual Transfer Data Augmentation +7

CAMERA: A Multimodal Dataset and Benchmark for Ad Text Generation

1 code implementation21 Sep 2023 Masato Mita, Soichiro Murakami, Akihiko Kato, Peinan Zhang

In response to the limitations of manual online ad production, significant research has been conducted in the field of automatic ad text generation (ATG).

Language Modelling Text Generation

Natural Language Generation for Advertising: A Survey

no code implementations22 Jun 2023 Soichiro Murakami, Sho Hoshino, Peinan Zhang

Natural language generation methods have emerged as effective tools to help advertisers increase the number of online advertisements they produce.

Text Generation

Aspect-based Analysis of Advertising Appeals for Search Engine Advertising

no code implementations NAACL (ACL) 2022 Soichiro Murakami, Peinan Zhang, Sho Hoshino, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura

Writing an ad text that attracts people and persuades them to click or act is essential for the success of search engine advertising.

Generating Weather Comments from Meteorological Simulations

1 code implementation EACL 2021 Soichiro Murakami, Sora Tanaka, Masatsugu Hangyo, Hidetaka Kamigaito, Kotaro Funakoshi, Hiroya Takamura, Manabu Okumura

The task of generating weather-forecast comments from meteorological simulations has the following requirements: (i) the changes in numerical values for various physical quantities need to be considered, (ii) the weather comments should be dependent on delivery time and area information, and (iii) the comments should provide useful information for users.

Informativeness

Cannot find the paper you are looking for? You can Submit a new open access paper.