@inproceedings{8028fcc38c8641d1861ef94edf07d3a6,
title = "Assessing named entity recognition efficacy using diverse geoscience datasets",
abstract = "The development of Knowledge Graphs (KGs) significantly relies on the advancements in Named Entity Recognition (NER), which is often hindered by the limited availability of specialised, labelled datasets. Geoscience researchers are exploring innovative strategies for NER due to the lack of a robust labelled terms corpus. In this work, the efficacy of NER in the automatic generation of KGs is examined, and opportunities for further research are identified.",
keywords = "Knowledge management, NER, NLP",
author = "Chambi, {Sandra Paula Villacorta} and Mark Lindsay and Jens Klump and Neil Francis",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing, MIGARS 2024 ; Conference date: 08-04-2024 Through 10-04-2024",
year = "2024",
month = jun,
day = "6",
doi = "10.1109/MIGARS61408.2024.10544642",
language = "English",
series = "2024 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing, MIGARS 2024",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
booktitle = "2024 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing, MIGARS 2024",
address = "United States",
}