Ryoichi Takashima
Dados Biográficos
| ID | 5066951 |
|---|---|
| NOME | Ryoichi Takashima |
| PRENOMES | Ryoichi |
| SOBRENOME | Takashima |
| ASSINATURA | TAKASHIMA R |
| AFILIAÇÕES | Kobe University |
| ORCID | 0000-0002-9808-0250 |
| VERIFICADO | Não |
| TOTAL DE OBRAS | 1 |
| TOTAL DE CITAÇÕES | 0 |
| OBRAS COMO AUTOR | 1 |
| OBRAS COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2025 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 0 |
Prefix tuning with prompt augmentation for efficient financial news summarization
In financial markets, the sentiment expressed in news articles plays a pivotal role in interpreting and forecasting market trends, which also holds true for the task of financial news summarization (FNS). Leveraging AI models to analyze social science data, this paper employs financial sentiment to improve FNS effectiveness by introducing a novel method that combines the sentiment polarity extracted from financial news with prompt augmentation te…
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Prefix tuning with prompt augmentation for efficient financial news summarization
In financial markets, the sentiment expressed in news articles plays a pivotal role in interpreting and forecasting market trends, which also holds true for the task of financial news summarization (FNS). Leveraging AI models to analyze social science data, this paper employs financial sentiment to improve FNS effectiveness by introducing a novel method that combines the sentiment polarity extracted from financial news with prompt augmentation te…
Advanced Text Analysis Techniques (1 obra) · Automatic summarization (1 obra) · Business (1 obra) · Computer Science (1 obra) · Information retrieval (1 obra) · Linguistics (1 obra) · Natural Language Processing Techniques (1 obra) · Prefix (1 obra) · Topic Modeling (1 obra)