{"id":"https://openalex.org/W3010109371","doi":"https://doi.org/10.1145/3380688.3380690","title":"Named Entity Recognition Method for Fault Knowledge based on Deep Learning","display_name":"Named Entity Recognition Method for Fault Knowledge based on Deep Learning","publication_year":2020,"publication_date":"2020-01-17","ids":{"openalex":"https://openalex.org/W3010109371","doi":"https://doi.org/10.1145/3380688.3380690","mag":"3010109371"},"language":"en","primary_location":{"id":"doi:10.1145/3380688.3380690","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3380688.3380690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Machine Learning and Soft Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101462413","display_name":"Zhicheng Chen","orcid":"https://orcid.org/0000-0002-1587-5892"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhicheng Chen","raw_affiliation_strings":["Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067311980","display_name":"Xiaobao Liu","orcid":"https://orcid.org/0000-0001-7967-4603"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobao Liu","raw_affiliation_strings":["Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101411077","display_name":"Yanchao Yin","orcid":"https://orcid.org/0000-0001-8799-7322"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanchao Yin","raw_affiliation_strings":["Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005809293","display_name":"Hongbiao Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbiao Lu","raw_affiliation_strings":["Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101462413"],"corresponding_institution_ids":["https://openalex.org/I10660446"],"apc_list":null,"apc_paid":null,"fwci":0.3977,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67093839,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9761000275611877,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9531000256538391,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8006020188331604},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6984909176826477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.601787805557251},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5828889608383179},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5781570076942444},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5429598093032837},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48325949907302856},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.464826375246048},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.43387115001678467},{"id":"https://openalex.org/keywords/recall-rate","display_name":"Recall rate","score":0.4295254349708557},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3945460319519043},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3944398760795593},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36249834299087524}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8006020188331604},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6984909176826477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.601787805557251},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5828889608383179},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5781570076942444},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5429598093032837},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48325949907302856},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.464826375246048},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.43387115001678467},{"id":"https://openalex.org/C2987098735","wikidata":"https://www.wikidata.org/wiki/Q3808900","display_name":"Recall rate","level":2,"score":0.4295254349708557},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3945460319519043},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3944398760795593},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36249834299087524},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3380688.3380690","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3380688.3380690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Machine Learning and Soft Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W2079735306","https://openalex.org/W2147527908","https://openalex.org/W2158899491","https://openalex.org/W2383453946","https://openalex.org/W2963341956"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W579810227","https://openalex.org/W2142145894","https://openalex.org/W2952780262","https://openalex.org/W2979495269","https://openalex.org/W2392917763","https://openalex.org/W2358855848","https://openalex.org/W2611989081","https://openalex.org/W2359307945","https://openalex.org/W4225869856"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,28,49,56,66,69],"problem":[3],"that":[4],"fault":[5,16,31,37,81],"text":[6,73],"is":[7,20,41,52,75],"difficult":[8],"to":[9,77],"be":[10],"directly":[11],"parsed":[12],"and":[13,35,61,83],"utilized,":[14],"a":[15,36],"knowledge":[17,32,38],"extraction":[18,39,57],"method":[19],"proposed":[21],"based":[22,43],"on":[23,44],"deep":[24],"learning":[25],"method.":[26,70],"Firstly,":[27],"characteristics":[29],"of":[30,68],"are":[33],"analyzed,":[34],"model":[40,51],"established":[42],"multi-layer":[45],"neural":[46],"network.":[47],"Finally,":[48],"presented":[50],"discussed":[53],"comprehensively":[54],"from":[55],"accuracy,":[58],"recall":[59],"rate":[60],"F1":[62],"value,":[63],"which":[64],"proves":[65],"feasibility":[67],"The":[71],"unstructured":[72],"data":[74],"used":[76],"provide":[78],"reference":[79],"for":[80],"diagnosis":[82],"prediction.":[84]},"counts_by_year":[{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}