{"id":"https://openalex.org/W4411889305","doi":"https://doi.org/10.1007/s10462-025-11280-0","title":"A survey on cutting-edge relation extraction techniques based on language models","display_name":"A survey on cutting-edge relation extraction techniques based on language models","publication_year":2025,"publication_date":"2025-07-01","ids":{"openalex":"https://openalex.org/W4411889305","doi":"https://doi.org/10.1007/s10462-025-11280-0"},"language":"en","primary_location":{"id":"doi:10.1007/s10462-025-11280-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-025-11280-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-025-11280-0.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10462-025-11280-0.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036347319","display_name":"Jose A. Diaz-Garcia","orcid":"https://orcid.org/0000-0002-9263-1402"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Jose A. Diaz-Garcia","raw_affiliation_strings":["Department of Computer Science and A.I., University of Granada, Granada, Spain"],"raw_orcid":"https://orcid.org/0000-0002-9263-1402","affiliations":[{"raw_affiliation_string":"Department of Computer Science and A.I., University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005624996","display_name":"Julio Amador","orcid":"https://orcid.org/0000-0003-0881-049X"},"institutions":[{"id":"https://openalex.org/I4210137885","display_name":"Sustainable Inshore Fisheries Trust","ror":"https://ror.org/04fyc2a82","country_code":"GB","type":"nonprofit","lineage":["https://openalex.org/I4210137885"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Julio Amador Diaz Lopez","raw_affiliation_strings":["SiftyML, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SiftyML, London, UK","institution_ids":["https://openalex.org/I4210137885"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036347319"],"corresponding_institution_ids":["https://openalex.org/I173304897"],"apc_list":{"value":3090,"currency":"USD","value_usd":3090},"apc_paid":{"value":3090,"currency":"USD","value_usd":3090},"fwci":14.5679,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.98772535,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"58","issue":"9","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.7736929655075073},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7689818143844604},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6126068830490112},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5348058938980103},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5148802995681763},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.49424079060554504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37325721979141235},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2385455071926117}],"concepts":[{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.7736929655075073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7689818143844604},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6126068830490112},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5348058938980103},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5148802995681763},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.49424079060554504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37325721979141235},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2385455071926117},{"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:10.1007/s10462-025-11280-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-025-11280-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-025-11280-0.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10462-025-11280-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-025-11280-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-025-11280-0.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2262748287","display_name":null,"funder_award_id":"501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G3480869486","display_name":null,"funder_award_id":"13039","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G3681454997","display_name":null,"funder_award_id":"13039/501100011033","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4042783231","display_name":null,"funder_award_id":"501100011033","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G425668148","display_name":null,"funder_award_id":".13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G451917667","display_name":null,"funder_award_id":"13039/501100011033","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G539658374","display_name":"Intelligent system for improved efficiency and effectiveness Intelligent system for improved efficiency and effectiveness of the customs control of passenger baggage from international flight arrivals","funder_award_id":"101121309","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5967599077","display_name":null,"funder_award_id":"501100011033","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G6105423837","display_name":null,"funder_award_id":"TED2021-129402B-C21","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7220471001","display_name":null,"funder_award_id":"PID2021-123960OB-I00","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320323834","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320335598","display_name":"Agencia Estatal de Investigaci\u00f3n","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411889305.pdf","grobid_xml":"https://content.openalex.org/works/W4411889305.grobid-xml"},"referenced_works_count":174,"referenced_works":["https://openalex.org/W1566289585","https://openalex.org/W1604644367","https://openalex.org/W1999965501","https://openalex.org/W2041936859","https://openalex.org/W2048296798","https://openalex.org/W2129767020","https://openalex.org/W2136437513","https://openalex.org/W2144578941","https://openalex.org/W2250539671","https://openalex.org/W2250576901","https://openalex.org/W2346452181","https://openalex.org/W2413794162","https://openalex.org/W2511178802","https://openalex.org/W2513387505","https://openalex.org/W2567202376","https://openalex.org/W2739874095","https://openalex.org/W2757276219","https://openalex.org/W2759211898","https://openalex.org/W2788647998","https://openalex.org/W2798298921","https://openalex.org/W2889391310","https://openalex.org/W2911285049","https://openalex.org/W2911489562","https://openalex.org/W2952179106","https://openalex.org/W2953049305","https://openalex.org/W2962881743","https://openalex.org/W2962946054","https://openalex.org/W2963595025","https://openalex.org/W2963718112","https://openalex.org/W2963733234","https://openalex.org/W2963777632","https://openalex.org/W2963797084","https://openalex.org/W2964105358","https://openalex.org/W2964199361","https://openalex.org/W2966049804","https://openalex.org/W2970641574","https://openalex.org/W2970771982","https://openalex.org/W2970846466","https://openalex.org/W2970959783","https://openalex.org/W2971258845","https://openalex.org/W2979826702","https://openalex.org/W2986619406","https://openalex.org/W2997154779","https://openalex.org/W3001434439","https://openalex.org/W3011411500","https://openalex.org/W3016077617","https://openalex.org/W3030092154","https://openalex.org/W3034891697","https://openalex.org/W3035009330","https://openalex.org/W3035053871","https://openalex.org/W3035309410","https://openalex.org/W3035390927","https://openalex.org/W3035566559","https://openalex.org/W3035703546","https://openalex.org/W3048945984","https://openalex.org/W3086199683","https://openalex.org/W3092557781","https://openalex.org/W3096288490","https://openalex.org/W3104953317","https://openalex.org/W3107500918","https://openalex.org/W3111184691","https://openalex.org/W3115977017","https://openalex.org/W3136346046","https://openalex.org/W3149443267","https://openalex.org/W3154901250","https://openalex.org/W3155073135","https://openalex.org/W3155731058","https://openalex.org/W3156772763","https://openalex.org/W3156811712","https://openalex.org/W3161997752","https://openalex.org/W3167044114","https://openalex.org/W3167136668","https://openalex.org/W3169766753","https://openalex.org/W3172497214","https://openalex.org/W3173376018","https://openalex.org/W3173892794","https://openalex.org/W3174091926","https://openalex.org/W3174505712","https://openalex.org/W3174628768","https://openalex.org/W3176148706","https://openalex.org/W3176398467","https://openalex.org/W3176472544","https://openalex.org/W3176762756","https://openalex.org/W3186001839","https://openalex.org/W3186328715","https://openalex.org/W3196690920","https://openalex.org/W3197984001","https://openalex.org/W3199907694","https://openalex.org/W3200130244","https://openalex.org/W3200202382","https://openalex.org/W3201090751","https://openalex.org/W3201147818","https://openalex.org/W3204348602","https://openalex.org/W3207806388","https://openalex.org/W3207972321","https://openalex.org/W3208906783","https://openalex.org/W3211507797","https://openalex.org/W3213921583","https://openalex.org/W3215349798","https://openalex.org/W4205993309","https://openalex.org/W4223482730","https://openalex.org/W4225102708","https://openalex.org/W4225908005","https://openalex.org/W4226135474","https://openalex.org/W4226325987","https://openalex.org/W4229002422","https://openalex.org/W4229020587","https://openalex.org/W4229029890","https://openalex.org/W4229031767","https://openalex.org/W4280518705","https://openalex.org/W4281488715","https://openalex.org/W4281639669","https://openalex.org/W4283318325","https://openalex.org/W4283721430","https://openalex.org/W4285151007","https://openalex.org/W4285157835","https://openalex.org/W4285246823","https://openalex.org/W4285305471","https://openalex.org/W4285308265","https://openalex.org/W4287854707","https://openalex.org/W4287887137","https://openalex.org/W4287891048","https://openalex.org/W4292474994","https://openalex.org/W4297253404","https://openalex.org/W4307225122","https://openalex.org/W4319337658","https://openalex.org/W4319985906","https://openalex.org/W4380569326","https://openalex.org/W4385570068","https://openalex.org/W4385570368","https://openalex.org/W4385570396","https://openalex.org/W4385570583","https://openalex.org/W4385570602","https://openalex.org/W4385570627","https://openalex.org/W4385570635","https://openalex.org/W4385570685","https://openalex.org/W4385570775","https://openalex.org/W4385570944","https://openalex.org/W4385570986","https://openalex.org/W4385570999","https://openalex.org/W4385571156","https://openalex.org/W4385571267","https://openalex.org/W4385571451","https://openalex.org/W4385571508","https://openalex.org/W4385571887","https://openalex.org/W4385572315","https://openalex.org/W4385572603","https://openalex.org/W4385573505","https://openalex.org/W4385574161","https://openalex.org/W4385893805","https://openalex.org/W4386566624","https://openalex.org/W4386566720","https://openalex.org/W4386566750","https://openalex.org/W4386566776","https://openalex.org/W4386566777","https://openalex.org/W4391839308","https://openalex.org/W4392981591","https://openalex.org/W4394819406","https://openalex.org/W4399074909","https://openalex.org/W4401671778","https://openalex.org/W4402667014","https://openalex.org/W4404783681","https://openalex.org/W4404783854","https://openalex.org/W4404784020","https://openalex.org/W4404784155","https://openalex.org/W6600274115","https://openalex.org/W6600424091","https://openalex.org/W6600493712","https://openalex.org/W6702248584","https://openalex.org/W6727875242","https://openalex.org/W6756688054","https://openalex.org/W6834969990","https://openalex.org/W6865577074","https://openalex.org/W7035904466"],"related_works":["https://openalex.org/W2976808399","https://openalex.org/W2609844752","https://openalex.org/W4392969631","https://openalex.org/W4285246823","https://openalex.org/W4226278302","https://openalex.org/W4221160509","https://openalex.org/W2547211086","https://openalex.org/W2538200646","https://openalex.org/W1968988659","https://openalex.org/W2888033806"],"abstract_inverted_index":{"Abstract":[0],"This":[1,28],"comprehensive":[2],"survey":[3],"examines":[4],"the":[5,31,45,66,80],"latest":[6],"advancements":[7],"in":[8,15,71,92,100],"Relation":[9],"Extraction":[10],"(RE),":[11],"a":[12],"pivotal":[13],"task":[14],"natural":[16],"language":[17,61],"processing":[18],"essential":[19],"for":[20,47,75],"applications":[21],"across":[22],"biomedical,":[23],"financial,":[24],"and":[25,33],"legal":[26],"sectors.":[27],"study":[29],"highlights":[30],"evolution":[32],"current":[34],"state":[35],"of":[36,68,83],"RE":[37,76],"techniques":[38],"by":[39],"analyzing":[40],"137":[41],"papers":[42],"presented":[43],"at":[44],"Association":[46],"Computational":[48],"Linguistics":[49],"(ACL)":[50],"conferences":[51],"from":[52],"2020":[53],"to":[54],"2023,":[55],"focusing":[56],"on":[57],"models":[58],"that":[59],"leverage":[60],"models.":[62],"Our":[63],"findings":[64],"underscore":[65],"dominance":[67],"BERT-based":[69],"methods":[70],"achieving":[72],"state-of-the-art":[73],"results":[74],"while":[77],"also":[78],"noting":[79],"promising":[81],"capabilities":[82],"emerging":[84],"Large":[85],"Language":[86],"Models":[87],"(LLMs)":[88],"like":[89],"T5,":[90],"especially":[91],"few-shot":[93],"relation":[94],"extraction":[95],"scenarios":[96],"where":[97],"they":[98],"excel":[99],"identifying":[101],"previously":[102],"unseen":[103],"relations.":[104]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":4}],"updated_date":"2026-08-02T14:50:37.381335","created_date":"2025-10-10T00:00:00"}
