no code implementations • 8 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.
1 code implementation • 21 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).
no code implementations • 22 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.
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.
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.
no code implementations • WS 2019 • Soichiro Murakami, Makoto Morishita, Tsutomu Hirao, Masaaki Nagata
This paper describes NTT's submission to the WMT19 robustness task.
no code implementations • ACL 2017 • Soichiro Murakami, Akihiko Watanabe, Akira Miyazawa, Keiichi Goshima, Toshihiko Yanase, Hiroya Takamura, Yusuke Miyao
This paper presents a novel encoder-decoder model for automatically generating market comments from stock prices.