Always private
DuckDuckGo never tracks your searches.
Learn More
You can hide this reminder in Search Settings
All regions
Argentina
Australia
Austria
Belgium (fr)
Belgium (nl)
Brazil
Bulgaria
Canada (en)
Canada (fr)
Catalonia
Chile
China
Colombia
Croatia
Czech Republic
Denmark
Estonia
Finland
France
Germany
Greece
Hong Kong
Hungary
Iceland
India (en)
Indonesia (en)
Ireland
Israel (en)
Italy
Japan
Korea
Latvia
Lithuania
Malaysia (en)
Mexico
Netherlands
New Zealand
Norway
Pakistan (en)
Peru
Philippines (en)
Poland
Portugal
Romania
Russia
Saudi Arabia
Singapore
Slovakia
Slovenia
South Africa
Spain (ca)
Spain (es)
Sweden
Switzerland (de)
Switzerland (fr)
Taiwan
Thailand (en)
Turkey
Ukraine
United Kingdom
US (English)
US (Spanish)
Vietnam (en)
Safe search: moderate
Strict
Moderate
Off
Any time
Any time
Past day
Past week
Past month
Past year
  1. aclanthology.org

    @inproceedings{li-etal-2024-using-llms, title = "Using {LLM}s to Build a Database of Climate Extreme Impacts", author = {Li, Ni and Zahra, Shorouq and Brito, Mariana and Flynn, Clare and G{\"o}rnerup, Olof and Worou, Koffi and Kurfali, Murathan and Meng, Chanjuan and Thiery, Wim and Zscheischler, Jakob and Messori, Gabriele and Nivre, Joakim}, editor = "Stammbach, Dominik and Ni, Jingwei and ...
  2. openreview.net

    To better understand how extreme climate events impact society, we need to increase the availability of accurate and comprehensive information about these impacts. We propose a method for building large-scale databases of climate extreme impacts from online textual sources, using LLMs for information extraction in combination with more traditional NLP techniques to improve accuracy and ...
  3. aclanthology.org

    tem for climate extreme impacts is the design of a database schema, which denes what type of infor-mation should be extracted and how this informa-tion should be formally represented. An important consideration here is compatibility with existing de facto standards in the eld, and we have there-fore chosen to base our categories mainly on the
  4. researchportal.vub.be

    We propose a method for building large-scale databases of climate extreme impacts from online textual sources, using LLMs for information extraction in combination with more traditional NLP techniques to improve accuracy and consistency.
  5. aclanthology.org

    To better understand how extreme climate events impact society, we need to increase the availability of accurate and comprehensive information about these impacts. We propose a method for building large-scale databases of climate extreme impacts from online textual sources, using LLMs for information extraction in combination with more ...
  6. link.springer.com

    Atmospheric extreme events cause severe damage to human societies and ecosystems. The frequency and intensity of extremes and other associated events are continuously increasing due to climate change and global warming. The accurate prediction, characterization, and attribution of atmospheric extreme events is, therefore, a key research field in which many groups are currently working by ...
  7. LLMs with other data sources, such as scientific papers, re-ports, and databases. The remainder of this paper is structured as follows. Sec-tion 2 gives a brief overview over recent developments in the field of LLMs, LLM agents, NLP in climate change, and use of multiple sources in the context of LLMs. Section 3 de-
  8. semanticscholar.org

    This work proposes a method for building large-scale databases of climate extreme impacts from online textual sources, using LLMs for information extraction in combination with more traditional NLP techniques to improve accuracy and consistency. To better understand how extreme climate events impact society, we need to increase the availability of accurate and comprehensive information about ...

    Can’t find what you’re looking for?

    Help us improve DuckDuckGo searches with your feedback

Custom date rangeX