{"id":"https://openalex.org/W4317418519","doi":"https://doi.org/10.1109/gcce56475.2022.10014427","title":"An Approach for Domain Relation Extraction","display_name":"An Approach for Domain Relation Extraction","publication_year":2022,"publication_date":"2022-10-18","ids":{"openalex":"https://openalex.org/W4317418519","doi":"https://doi.org/10.1109/gcce56475.2022.10014427"},"language":"en","primary_location":{"id":"doi:10.1109/gcce56475.2022.10014427","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcce56475.2022.10014427","pdf_url":null,"source":{"id":"https://openalex.org/S4363607800","display_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100446916","display_name":"Jiahui Wang","orcid":"https://orcid.org/0000-0002-6438-1506"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Wang","raw_affiliation_strings":["Yunnan University,School of Information Science and Engineering,Kunming,China","School of Information Science and Engineering, Yunnan University, Kunming, China","Yunnan Key Laboratory of Intelligent Systems and Computing, Yunnan University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yunnan University,School of Information Science and Engineering,Kunming,China","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"Yunnan Key Laboratory of Intelligent Systems and Computing, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102988164","display_name":"Kun Yue","orcid":"https://orcid.org/0000-0002-2556-270X"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Yue","raw_affiliation_strings":["Yunnan University,School of Information Science and Engineering,Kunming,China","School of Information Science and Engineering, Yunnan University, Kunming, China","Yunnan Key Laboratory of Intelligent Systems and Computing, Yunnan University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yunnan University,School of Information Science and Engineering,Kunming,China","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"Yunnan Key Laboratory of Intelligent Systems and Computing, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101763318","display_name":"Liang Duan","orcid":"https://orcid.org/0000-0001-9473-2533"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Duan","raw_affiliation_strings":["Yunnan University,School of Information Science and Engineering,Kunming,China","School of Information Science and Engineering, Yunnan University, Kunming, China","Yunnan Key Laboratory of Intelligent Systems and Computing, Yunnan University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yunnan University,School of Information Science and Engineering,Kunming,China","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"Yunnan Key Laboratory of Intelligent Systems and Computing, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19294313,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"57","issue":null,"first_page":"249","last_page":"250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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":0.9997000098228455,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9991999864578247,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9976999759674072,"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/relationship-extraction","display_name":"Relationship extraction","score":0.9234884977340698},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7368817925453186},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6931551694869995},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6787367463111877},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6032726168632507},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.509547770023346},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.47132614254951477},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.43992897868156433},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38434308767318726},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3713819682598114},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36600399017333984},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2335912585258484},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16586893796920776}],"concepts":[{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.9234884977340698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7368817925453186},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6931551694869995},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6787367463111877},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6032726168632507},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.509547770023346},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.47132614254951477},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.43992897868156433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38434308767318726},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3713819682598114},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36600399017333984},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2335912585258484},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16586893796920776},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce56475.2022.10014427","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcce56475.2022.10014427","pdf_url":null,"source":{"id":"https://openalex.org/S4363607800","display_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2324325084","https://openalex.org/W2752390175","https://openalex.org/W2799125718","https://openalex.org/W2971221499","https://openalex.org/W3035053871","https://openalex.org/W3111584815"],"related_works":["https://openalex.org/W4387688064","https://openalex.org/W2976808399","https://openalex.org/W4200635478","https://openalex.org/W4226439756","https://openalex.org/W3034497660","https://openalex.org/W2786559064","https://openalex.org/W4319940250","https://openalex.org/W3030707102","https://openalex.org/W4388486508","https://openalex.org/W2251315883"],"abstract_inverted_index":{"Extraction":[0],"of":[1,55],"relations":[2,40],"among":[3,25],"entities":[4,26],"from":[5],"texts":[6],"is":[7],"critical":[8],"for":[9],"domain":[10,42,49],"knowledge":[11],"representation.":[12],"In":[13],"this":[14],"paper,":[15],"an":[16],"association":[17],"graph":[18],"was":[19,35],"constructed":[20],"to":[21,37],"represent":[22],"the":[23,39,53,60],"dependencies":[24],"and":[27],"relations,":[28],"upon":[29],"which":[30],"a":[31],"relation":[32,62],"extraction":[33,63],"method":[34,58],"proposed":[36,57],"predict":[38],"in":[41],"texts.":[43],"Experimental":[44],"results":[45],"on":[46],"various":[47],"annotated":[48],"datasets":[50],"demonstrate":[51],"that":[52],"recall":[54],"our":[56],"outperforms":[59],"other":[61],"models.":[64]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
