2 papers
cs.CL2025
CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision
Aoi Ito, Kota Dohi, Yohei Kawaguchi
This paper presents CLaSP, a novel model for retrieving time-series signals using natural language queries that describe signal characteristics. The ability to search time-series s…
cs.CL2025
Domain-Independent Automatic Generation of Descriptive Texts for Time-Series Data
Kota Dohi, Aoi Ito, Harsh Purohit +3
Due to scarcity of time-series data annotated with descriptive texts, training a model to generate descriptive texts for time-series data is challenging. In this study, we propose…