{"id":"https://openalex.org/W3179747003","doi":"https://doi.org/10.1145/3451471.3451506","title":"Relation Extraction: A Brief Survey on Deep Neural Network Based Methods","display_name":"Relation Extraction: A Brief Survey on Deep Neural Network Based Methods","publication_year":2021,"publication_date":"2021-01-16","ids":{"openalex":"https://openalex.org/W3179747003","doi":"https://doi.org/10.1145/3451471.3451506","mag":"3179747003"},"language":"en","primary_location":{"id":"doi:10.1145/3451471.3451506","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3451471.3451506","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 The 4th International Conference on Software Engineering and Information Management","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/A5100330268","display_name":"Hailin Wang","orcid":"https://orcid.org/0000-0001-7614-2003"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hailin Wang","raw_affiliation_strings":["University of Electronic Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000444026","display_name":"Guoming Lu","orcid":"https://orcid.org/0000-0001-7477-5800"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoming Lu","raw_affiliation_strings":["University of Electronic Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102212685","display_name":"Jin Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Yin","raw_affiliation_strings":["University of Electronic Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070150374","display_name":"Ke Qin","orcid":"https://orcid.org/0000-0001-6174-3877"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Qin","raw_affiliation_strings":["University of Electronic Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100330268"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":1.3597,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84449754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"220","last_page":"228"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9984999895095825,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9983999729156494,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.6583593487739563},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6330930590629578},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5410020351409912},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.513388991355896},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4729601740837097},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.4465154707431793},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2538073658943176},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.07166841626167297},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.06346642971038818}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6583593487739563},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6330930590629578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5410020351409912},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.513388991355896},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4729601740837097},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.4465154707431793},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2538073658943176},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.07166841626167297},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.06346642971038818}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3451471.3451506","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3451471.3451506","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 The 4th International Conference on Software Engineering and Information Management","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":34,"referenced_works":["https://openalex.org/W143521272","https://openalex.org/W1489949474","https://openalex.org/W1604644367","https://openalex.org/W1832693441","https://openalex.org/W2068737686","https://openalex.org/W2099779943","https://openalex.org/W2103931177","https://openalex.org/W2123143128","https://openalex.org/W2250539671","https://openalex.org/W2251135946","https://openalex.org/W2251622960","https://openalex.org/W2483327705","https://openalex.org/W2511964075","https://openalex.org/W2513378248","https://openalex.org/W2515462165","https://openalex.org/W2517194566","https://openalex.org/W2528512298","https://openalex.org/W2739722817","https://openalex.org/W2775521672","https://openalex.org/W2796607664","https://openalex.org/W2796778179","https://openalex.org/W2806643775","https://openalex.org/W2887428522","https://openalex.org/W2890021306","https://openalex.org/W2891417293","https://openalex.org/W2906003738","https://openalex.org/W2916803445","https://openalex.org/W2949212908","https://openalex.org/W2951922582","https://openalex.org/W2964217331","https://openalex.org/W2969384582","https://openalex.org/W3018931444","https://openalex.org/W3035053871","https://openalex.org/W4205918858"],"related_works":["https://openalex.org/W2609844752","https://openalex.org/W2981341912","https://openalex.org/W4200635478","https://openalex.org/W3144259685","https://openalex.org/W4221160509","https://openalex.org/W4226439756","https://openalex.org/W4226278302","https://openalex.org/W3138270804","https://openalex.org/W4286980453","https://openalex.org/W2528512298"],"abstract_inverted_index":{"Knowledge,":[0],"data,":[1],"algorithms":[2],"and":[3,42,73,92,100],"computing":[4],"power":[5],"are":[6],"the":[7,17,118],"foundations":[8],"of":[9,95],"artificial":[10],"intelligence":[11],"(AI),":[12],"for":[13],"which":[14],"knowledge":[15,34],"is":[16,31],"most":[18],"powerful":[19],"support.":[20],"An":[21],"effective":[22],"way":[23],"to":[24,33,120],"acquire":[25],"knowledge,":[26],"called":[27],"Relation":[28],"Extraction":[29],"(RE),":[30],"beneficial":[32],"graph":[35],"completion,":[36],"path":[37],"inference,":[38],"logical":[39],"rule":[40],"reasoning,":[41],"many":[43],"other":[44],"AI":[45],"tasks.":[46],"In":[47,117],"this":[48,104],"survey,":[49],"we":[50,126],"provide":[51],"a":[52,84,111],"comprehensive":[53],"review":[54],"on":[55,87,114,124],"deep":[56],"neural":[57],"networks":[58],"(DNNs)":[59],"based":[60],"RE":[61,108],"covering":[62],"some":[63,129],"main":[64,90],"research":[65,79,123],"topics":[66],"about:":[67],"1)":[68],"general":[69],"framework,":[70],"2)":[71],"supervised":[72,75,99,102],"distant":[74,101],"RE,":[76,103,125],"3)":[77],"future":[78,122],"directions.":[80],"General":[81],"framework":[82],"provides":[83],"full-view":[85],"summarization":[86],"traditional":[88],"methods,":[89],"component":[91],"basic":[93],"conceptions":[94],"DNN-based":[96,107],"RE.":[97],"For":[98],"part":[105],"summarizes":[106],"methods":[109],"into":[110],"new":[112],"taxonomies":[113],"these":[115],"topics.":[116],"end,":[119],"facilitate":[121],"also":[127],"discuss":[128],"obstacles.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2022,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
