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Beyond the Surface: Leveraging NLP to Map Global Natural Hazard Impacts

Date
Jul 4, 2024
Time
11:00 AM - 12:00 PM
Speaker
Taís Maria Nunes Carvalho
Affiliation
ScaDS.AI Dresden/Leipzig
Series
ScaDS.AI Lecture Series
Language
en
Main Topic
Informatik
Description
Understanding how natural hazards such as floods, droughts, and storms evolve into disasters requires comprehensive and accurate impact data. Recent advancements in natural language processing (NLP) and large language models (LLMs) offer promising tools to address the limitations of traditional data collection methods. This lecture introduces a novel approach to creating a global dataset of natural hazard impacts by analyzing the full text of peer-reviewed articles. By leveraging the capabilities of LLMs and Retrieval-Augmented Generation, I will demonstrate how we can extract and structure both quantitative and qualitative data across various impact classes from unstructured text.
Links

Last modified: Jun 13, 2024, 2:51:49 PM

Location

Online, please follow the internet link. (https://tud.link/i8zf)

Organizer

Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI)Chemnitzer Straße46b, 2. OG01187Dresden
Phone
+49 351 463-40900
E-Mail
ScaDS.AI
Homepage
https://scads.ai
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