{"id":"https://openalex.org/W4319940250","doi":"https://doi.org/10.3233/jifs-223915","title":"Review of entity relation extraction","display_name":"Review of entity relation extraction","publication_year":2023,"publication_date":"2023-02-10","ids":{"openalex":"https://openalex.org/W4319940250","doi":"https://doi.org/10.3233/jifs-223915"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-223915","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-223915","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-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/A5090056955","display_name":"Meimei Tuo","orcid":null},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meimei Tuo","raw_affiliation_strings":["School of Information Science and Engineering, Xinjiang University, Urumqi, Xinjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Xinjiang University, Urumqi, Xinjiang, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103199081","display_name":"Wenzhong Yang","orcid":"https://orcid.org/0009-0008-8604-0578"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenzhong Yang","raw_affiliation_strings":["School of Information Science and Engineering, Xinjiang University, Urumqi, Xinjiang, China","Xinjiang Key Laboratory of Multilingual Information Technology, Xinjiang University, Urumqi, Xinjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Xinjiang University, Urumqi, Xinjiang, China","institution_ids":["https://openalex.org/I96908189"]},{"raw_affiliation_string":"Xinjiang Key Laboratory of Multilingual Information Technology, Xinjiang University, Urumqi, Xinjiang, China","institution_ids":["https://openalex.org/I96908189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103199081"],"corresponding_institution_ids":["https://openalex.org/I96908189"],"apc_list":null,"apc_paid":null,"fwci":2.6566,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.91581217,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"44","issue":"5","first_page":"7391","last_page":"7405"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9969000220298767,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9969000220298767,"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/T10028","display_name":"Topic Modeling","score":0.9959999918937683,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.9403064846992493},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8390827178955078},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.8367218971252441},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.7426618337631226},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.49428510665893555},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.4757394790649414},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.43093788623809814},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4035014510154724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3699268102645874},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35113221406936646},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33578163385391235}],"concepts":[{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.9403064846992493},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8390827178955078},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.8367218971252441},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.7426618337631226},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.49428510665893555},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.4757394790649414},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.43093788623809814},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4035014510154724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3699268102645874},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35113221406936646},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33578163385391235},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-223915","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-223915","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W9675080","https://openalex.org/W62735629","https://openalex.org/W1998897409","https://openalex.org/W2056279418","https://openalex.org/W2120433106","https://openalex.org/W2351760188","https://openalex.org/W2353095466","https://openalex.org/W2354031815","https://openalex.org/W2357310170","https://openalex.org/W2362370287","https://openalex.org/W2369161052","https://openalex.org/W2383475420","https://openalex.org/W2383767851","https://openalex.org/W2385359934","https://openalex.org/W2577211566","https://openalex.org/W2587809655","https://openalex.org/W2726525758","https://openalex.org/W2765105011","https://openalex.org/W2765666491","https://openalex.org/W2786559064","https://openalex.org/W3002472320","https://openalex.org/W3003599648","https://openalex.org/W3009279458","https://openalex.org/W3118020850","https://openalex.org/W6602640466","https://openalex.org/W6987394065","https://openalex.org/W7000478289","https://openalex.org/W7026456547"],"related_works":["https://openalex.org/W2352298027","https://openalex.org/W4319940250","https://openalex.org/W842810586","https://openalex.org/W2092919065","https://openalex.org/W4236762297","https://openalex.org/W3138801416","https://openalex.org/W2369351710","https://openalex.org/W2594363579","https://openalex.org/W2169232658","https://openalex.org/W2444550338"],"abstract_inverted_index":{"In":[0,58],"today\u2019s":[1],"big":[2],"data":[3],"era,":[4],"there":[5],"are":[6],"a":[7,39,63],"large":[8],"number":[9],"of":[10,66,104,107],"unstructured":[11],"information":[12,32],"resources":[13],"on":[14,77,85],"the":[15,72,80,89,99,111],"web.":[16],"Natural":[17],"language":[18],"processing":[19],"researchers":[20],"have":[21],"been":[22],"working":[23],"hard":[24],"to":[25,29,132],"figure":[26],"out":[27],"how":[28],"extract":[30],"useful":[31],"from":[33],"them.":[34],"Entity":[35],"Relation":[36],"Extraction":[37,44],"is":[38],"crucial":[40],"step":[41],"in":[42],"Information":[43],"and":[45,55,70,88,101,109,114,129],"provides":[46],"technical":[47],"support":[48],"for":[49,93,117],"Knowledge":[50],"Graphs,":[51],"Intelligent":[52,56],"Q&A":[53],"systems":[54,116],"Retrieval.":[57],"this":[59],"paper,":[60],"we":[61,97,122],"present":[62],"comprehensive":[64],"history":[65],"entity":[67,118,125],"relation":[68,73,81,90,119,126],"extraction":[69,74,82,91,127],"introduce":[71,110],"methods":[75,83,92,128],"based":[76,84],"Machine":[78],"Mearning,":[79],"Deep":[86],"Learning":[87],"open":[94],"domains.":[95],"Then":[96],"summarize":[98,123],"characteristics":[100],"representative":[102],"results":[103],"each":[105],"type":[106],"method":[108],"common":[112],"datasets":[113],"evaluation":[115],"extraction.":[120],"Finally,":[121],"current":[124],"look":[130],"forward":[131],"future":[133],"technologies.":[134]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}