43 citations · 46 across the 8 of their papers we have counts for
8 papers
Hierarchical Organization Simulacra in the Investment Sector
Chung-Chi Chen, Hiroya Takamura, Ichiro Kobayashi +1
This paper explores designing artificial organizations with professional behavior in investments using a multi-agent simulation. The method mimics hierarchical decision-making in i…
Rehearsing Answers to Probable Questions with Perspective-Taking
Yung-Yu Shih, Ziwei Xu, Hiroya Takamura +2
Question answering (QA) has been a long-standing focus in the NLP field, predominantly addressing reading comprehension and common sense QA. However, scenarios involving the prepar…
Enhancing Financial Sentiment Analysis with Expert-Designed Hint
Chung-Chi Chen, Hiroya Takamura, Ichiro Kobayashi +1
This paper investigates the role of expert-designed hint in enhancing sentiment analysis on financial social media posts. We explore the capability of large language models (LLMs)…
Enhancing Investment Opinion Ranking through Argument-Based Sentiment Analysis
Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen +3
In the era of rapid Internet and social media platform development, individuals readily share their viewpoints online. The overwhelming quantity of these posts renders comprehensiv…
Prompting for Numerical Sequences: A Case Study on Market Comment Generation
Masayuki Kawarada, Tatsuya Ishigaki, Hiroya Takamura
Large language models (LLMs) have been applied to a wide range of data-to-text generation tasks, including tables, graphs, and time-series numerical data-to-text settings. While re…
Contextualized Word Vector-based Methods for Discovering Semantic Differences with No Training nor Word Alignment
Ryo Nagata, Hiroya Takamura, Naoki Otani +1
In this paper, we propose methods for discovering semantic differences in words appearing in two corpora based on the norms of contextualized word vectors. The key idea is that the…