Hu, Yingjie, Mai, Gengchen, Cundy, Chris, Choi, Kristy, Lao, Ni, Liu, Wei, Lakhanpal, Gaurish, Zhou, Ryan Zhenqi, and Joseph, Kenneth. Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages. Retrieved from https://par.nsf.gov/biblio/10480555. International Journal of Geographical Information Science 37.11 Web. doi:10.1080/13658816.2023.2266495.

Hu, Yingjie, Mai, Gengchen, Cundy, Chris, Choi, Kristy, Lao, Ni, Liu, Wei, Lakhanpal, Gaurish, Zhou, Ryan Zhenqi, & Joseph, Kenneth. Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages. International Journal of Geographical Information Science, 37 (11). Retrieved from https://par.nsf.gov/biblio/10480555. https://doi.org/10.1080/13658816.2023.2266495

Hu, Yingjie, Mai, Gengchen, Cundy, Chris, Choi, Kristy, Lao, Ni, Liu, Wei, Lakhanpal, Gaurish, Zhou, Ryan Zhenqi, and Joseph, Kenneth. "Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages". International Journal of Geographical Information Science 37 (11). Country unknown/Code not available: Taylor & Francis. https://doi.org/10.1080/13658816.2023.2266495. https://par.nsf.gov/biblio/10480555.

@article{osti_10480555,
place = {Country unknown/Code not available}, title = {Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages}, url = {https://par.nsf.gov/biblio/10480555}, DOI = {10.1080/13658816.2023.2266495}, abstractNote = {}, journal = {International Journal of Geographical Information Science}, volume = {37}, number = {11}, publisher = {Taylor & Francis}, author = {Hu, Yingjie and Mai, Gengchen and Cundy, Chris and Choi, Kristy and Lao, Ni and Liu, Wei and Lakhanpal, Gaurish and Zhou, Ryan Zhenqi and Joseph, Kenneth}, }