Liufeng Tao

GeoNER: Geological Named Entity Recognition with Enriched Domain Pre‐Training Model and Adversarial Training

2024 · Acta Geologica Sinica - English Edition

Abstract As important geological data, a geological report contains rich expert and geological knowledge, but the challenge facing current research into geological knowledge extraction and mining is how to render accurate understanding of geological reports …

Joint extraction method for entity relations from mineral resources reports integrating dependency parsing and improved graph convolutional networks

2025 · Ore Geology Reviews

• Propose a GCN entity relationship joint extraction model based on dependency syntax analysis. • Propose a GCN with stacked pointer networks to address long entity and overlapping entity. • Propose the use of the …

GNER: A Generative Model for Geological Named Entity Recognition Without Labeled Data Using Deep Learning

2019 · Earth and Space Science

Abstract A variety of detailed data about geological topics and geoscience knowledge are buried in the geoscience literature and rarely used. Named entity recognition (NER) provides both opportunities and challenges to leverage this wealth of …

Chinese Named Entity Recognition in the Geoscience Domain Based on BERT

2022 · Earth and Space Science

Abstract Geological reports are frequently used by geologists involved in geological surveys and scientific research to record the results and outcomes of geological surveys. With such a rich data source, a substantial amount of knowledge …