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

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 guided by domain knowledge.While generic named entity recognition models/tools can be utilized for the processing of geoscience reports/documents,their effectiveness is hampered by a dearth of domain-specific knowledge,which in turn leads to a pronounced decline in recognition accuracy.This study summarizes six types of typical geological entities,with reference to the ontological system of geological domains and builds a high quality corpus for the task of geological named entity recognition(GNER).In addition,Geo Wo BERT-adv BGP(Geological Word-base BERTadversarial training Bi-directional Long Short-Term Memory Global Pointer)is proposed to address the issues of ambiguity,diversity and nested entities for the geological entities.The model first uses the fine-tuned word granularitybased pre-training model Geo Wo BERT(Geological Word-base BERT)and combines the text features that are extracted using the Bi LSTM(Bi-directional Long Short-Term Memory),followed by an adversarial training algorithm to improve the robustness of the model and enhance its resistance to interference,the decoding finally being performed using a global association pointer algorithm.The experimental results show that the proposed model for the constructed dataset achieves high performance and is capable of mining the rich geological information.

Study on Wide Antifungal Property of Bacillus subtilis HAS

Bacillus subtilis HAS is a biocontrol strain with better inhibitory effect on Sporisorium scitaminea Sydow. In order to further understand its action range,with fungal pathogens in sugarcane production as targets,confrontation tests and tests of inhibitory effect of secondary metabolites on growth of pathogens were carried out. The results showed that B. subtilis HAS not only had better inhibitory effect on S. Scitaminea,but also inhibited the growth of various fungal pathogens in sugarcane production. The inhibitory effect was the best on Ceratocystis adiposum,Thielaviopsis paradoxa,Fusarium moniliforme and Colletotrichum fuleatum,which was reflected by the radius of inhibitory zone over 10 mm. The inhibitory rates of the secondary metabolites were about 70%. It indicates that B. subtilis HAS has wide antifungal property,providing reference for further application of this strain.