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When a disaster occurs, the prompt acquisition and distribution of precise disaster information are essential, because the early evacuation of residents is an effective way for the reduction of human damage. Then, the usefulness of social media for disaster mitigation has attracted worldwide attention. In the previous work, we developed a system to share disaster-related information utilizing Twitter. In this study, we implement a chatbot application (LINE BOT) with the same functions as the system developed in our earlier study.
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Stored only when both papers are in the corpus — 10 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.