Search Results for author: Peinan Zhang

Found 12 papers, 6 papers with code

FAST: Fast Annotation tool for SmarT devices

1 code implementation EMNLP (ACL) 2021 Shunyo Kawamoto, Yu Sawai, Kohei Wakimoto, Peinan Zhang

Working with a wide range of annotators with the same attributes is crucial, as in real-world applications.

Sentiment Analysis

FaithCAMERA: Construction of a Faithful Dataset for Ad Text Generation

1 code implementation4 Oct 2024 Akihiko Kato, Masato Mita, Soichiro Murakami, Ukyo Honda, Sho Hoshino, Peinan Zhang

In this study, we collaborate with in-house ad creators to refine the CAMERA references and develop an alternative ATG evaluation dataset called FaithCAMERA, in which the faithfulness of references is guaranteed.

Informativeness Sentence +1

AdTEC: A Unified Benchmark for Evaluating Text Quality in Search Engine Advertising

1 code implementation12 Aug 2024 Peinan Zhang, Yusuke Sakai, Masato Mita, Hiroki Ouchi, Taro Watanabe

With the increase in the more fluent ad texts automatically created by natural language generation technology, it is in the high demand to verify the quality of these creatives in a real-world setting.

Text Generation

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

Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding

1 code implementation10 Jan 2024 Yuu Jinnai, Ukyo Honda, Tetsuro Morimura, Peinan Zhang

We propose two variants of MBR, Diverse MBR (DMBR) and $k$-medoids MBR (KMBR), methods to generate a set of sentences with high quality and diversity.

Decoder Diversity +3

Striking Gold in Advertising: Standardization and Exploration of Ad Text Generation

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

In response to the limitations of manual ad creation, 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.

Diversity Survey +1

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.

An Empirical Study of Generating Texts for Search Engine Advertising

no code implementations NAACL 2021 Hidetaka Kamigaito, Peinan Zhang, Hiroya Takamura, Manabu Okumura

Although there are many studies on neural language generation (NLG), few trials are put into the real world, especially in the advertising domain.

Text Generation

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