Understanding geological reports based on knowledge graphs using a deep learning approach
Tài liệu tham khảo
Bekoulis, 2018, Joint entity recognition and relation extraction as a multi-head selection problem, Expert Syst. Appl., 114, 34, 10.1016/j.eswa.2018.07.032
Consoli, 2020, Embeddings for named entity recognition in geoscience Portuguese literature, 4625
Deng, 2021, GAKG: a multimodal geoscience academic knowledge graph, 4445
Enkhsaikhan, 2021, Understanding ore-forming conditions using machine reading of text, Ore Geol. Rev., 10.1016/j.oregeorev.2021.104200
Enkhsaikhan, 2021, Auto-labelling entities in low-resource text: a geological case study, Knowl. Inf. Syst., 63, 695, 10.1007/s10115-020-01532-6
Fan, 2020, Deep learning-based named entity recognition and knowledge graph construction for geological hazards, ISPRS Int. J. Geo-Inf., 9, 15, 10.3390/ijgi9010015
Fensel, 2020, Introduction: what is a knowledge graph?, 1
Gupta, 2019, Neural relation extraction within and across sentence boundaries, 6513
He, 2020, End-to-end relation extraction based on bootstrapped multi-level distant supervision, World Wide Web, 23, 2933, 10.1007/s11280-020-00816-9
Huang, 2021, Research on a geological entity relation extraction model for gold mine based on BERT, J. Geomechanics, 27, 391
Jianping, 2016, Quantitative geoscience and geological big data development: a review, Acta Geologica Sinica‐English Edition, 90, 1490, 10.1111/1755-6724.12782
Jyothi, 2008, Knowledge extraction using rule based decision tree approach, IJCSNS, 8, 296
Li, 2013, A relation extraction method of Chinese named entities based on location and semantic features, Appl. Intell., 38, 1, 10.1007/s10489-012-0353-0
Li, 2014, Incremental joint extraction of entity mentions and relations, vol. 1, 402
Li, 2021, Keyword extraction method for machine reading comprehension based on natural language processing
Li, 2004, An SVM based learning algorithm for information extraction, Mach. Learn., 1
Liang, 2021, A review on sustainable development of geological exploration technology and risk management, Recent Pat. Eng., 15, 45, 10.2174/1872212114999200427075603
Liu, 2019
Liu, 2018
Lun, 2021, Extracting knowledge with NLP from massive geological documents, 1
Luo, 2017, Attention-based relation extraction with bidirectional gated recurrent unit and highway network in the analysis of geological data, IEEE Access, 6, 5705, 10.1109/ACCESS.2017.2785229
Ma, 2021
McManus, 2021, Uncertainty assessment of spatial domain models in early stage mining projects–a review, Ore Geol. Rev., 133, 10.1016/j.oregeorev.2021.104098
Minard, 2011, Multi-class SVM for relation extraction from clinical reports
Paulheim, 2017, Knowledge graph refinement: a survey of approaches and evaluation methods, Semantic Web, 8, 489, 10.3233/SW-160218
Qin, 2021, Relation extraction with word graphs from N-grams, 2860
Qiu, 2019, BiLSTM-CRF for geological named entity recognition from the geoscience literature, Earth Science Informatics, 12, 565, 10.1007/s12145-019-00390-3
Qiu, 2021, GKEEP: an enhanced graph‐based keyword extractor with error‐feedback propagation for geoscience reports, Earth Space Sci., 8, 10.1029/2020EA001602
Qun, 2021, Construction of deposit model-oriented knowledge graph
Ravikumar, 2017, BELMiner: adapting a rule-based relation extraction system to extract biological expression language statements from bio-medical literature evidence sentences, Database, 2017, 10.1093/database/baw156
Sari, 2010, Rule-based pattern extractor and named entity recognition: a hybrid approach, 563
Shi, 2018, Prospecting information extraction by text mining based on convolutional neural networks–a case study of the Lala copper deposit, China, IEEE Access, 6, 52286, 10.1109/ACCESS.2018.2870203
Singh, 2013, Joint inference of entities, relations, and coreference, 1
Sobhana, 2010, Conditional random field based named entity recognition in geological text, Int. J. Comput. Appl., 1, 143
Sui, 2020
Wan, 2019, BiLSTM-CRF Chinese named entity recognition model with attention mechanism
Wang, 2021, A semi-automatic approach for generating geological profiles by integrating multi-source data, Ore Geol. Rev.
Wang, 2021, The Deep-Time Digital Earth program: data-driven discovery in geosciences, Natl. Sci. Rev., 8, 10.1093/nsr/nwab027
Wang, 2018, Information extraction and knowledge graph construction from geoscience literature, Comput. Geosci., 112, 112, 10.1016/j.cageo.2017.12.007
Wang, 2018, Development of keyword extraction algorithm for geoscience unstructured document based on big data, Prog. Geophys., 33, 1274
Wang, 2020
Wang, 2021, BIRL: bidirectional-interaction reinforcement learning framework for joint relation and entity extraction, 483
Wei, 2021, Research on content storage method of unstructured geological data, Northwest. Geol., 54, 266
Wei, 2014, Organizing and storing method for large-scale unstructured data set with complex content, 70
Wei, 2019
Yang, 2013, Joint inference for fine-grained opinion extraction, vol. 1, 1640
Yu, 2019
Zhang, 2017, End-to-end neural relation extraction with global optimization, 1730
Zhang, 2022
Zhao, 2021, An improved TextRank multi-feature fusion algorithm for keyword extraction of educational resources
Zhao, 2011, Geological exploration theory for large oil and gas provinces and its significance, Petrol. Explor. Dev., 38, 513, 10.1016/S1876-3804(11)60051-7
Zheng, 2017
Zhou, 2021, Prospects for the research on geoscience knowledge graph in the Big Data Era, Sci. China Earth Sci., 1
Zhu, 2005, 2d conditional random fields for web information extraction, 1044
