{"id":"https://openalex.org/W4321434383","doi":"https://doi.org/10.1162/dint_a_00192","title":"Relation Extraction Based on Prompt Information and Feature Reuse","display_name":"Relation Extraction Based on Prompt Information and Feature Reuse","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4321434383","doi":"https://doi.org/10.1162/dint_a_00192"},"language":"en","primary_location":{"id":"doi:10.1162/dint_a_00192","is_oa":true,"landing_page_url":"https://doi.org/10.1162/dint_a_00192","pdf_url":"https://direct.mit.edu/dint/article-pdf/doi/10.1162/dint_a_00192/2072383/dint_a_00192.pdf","source":{"id":"https://openalex.org/S4210186383","display_name":"Data Intelligence","issn_l":"2096-7004","issn":["2096-7004","2641-435X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://direct.mit.edu/dint/article-pdf/doi/10.1162/dint_a_00192/2072383/dint_a_00192.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037216378","display_name":"Ping Feng","orcid":"https://orcid.org/0000-0003-4865-1454"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210101652","display_name":"Health Commission of Jilin Province","ror":"https://ror.org/01a67y017","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210101652"]},{"id":"https://openalex.org/I49232843","display_name":"Changchun University","ror":"https://ror.org/02an57k10","country_code":"CN","type":"education","lineage":["https://openalex.org/I49232843"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ping Feng","raw_affiliation_strings":["Changchun University, Changchun Jilin 130022, China","Jilin Provincial Key Laboratory of Human Health State Identification and Function Enhancement, Changchun Jilin 130022, China","Jilin University, Changchun Jilin 130012, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changchun University, Changchun Jilin 130022, China","institution_ids":["https://openalex.org/I49232843"]},{"raw_affiliation_string":"Jilin Provincial Key Laboratory of Human Health State Identification and Function Enhancement, Changchun Jilin 130022, China","institution_ids":["https://openalex.org/I4210101652"]},{"raw_affiliation_string":"Jilin University, Changchun Jilin 130012, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117515649","display_name":"Xin Zhang","orcid":"https://orcid.org/0009-0003-3706-9044"},"institutions":[{"id":"https://openalex.org/I49232843","display_name":"Changchun University","ror":"https://ror.org/02an57k10","country_code":"CN","type":"education","lineage":["https://openalex.org/I49232843"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhang","raw_affiliation_strings":["Changchun University, Changchun Jilin 130022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changchun University, Changchun Jilin 130022, China","institution_ids":["https://openalex.org/I49232843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000286903","display_name":"Jian Zhao","orcid":"https://orcid.org/0000-0003-3265-6461"},"institutions":[{"id":"https://openalex.org/I4210101652","display_name":"Health Commission of Jilin Province","ror":"https://ror.org/01a67y017","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210101652"]},{"id":"https://openalex.org/I49232843","display_name":"Changchun University","ror":"https://ror.org/02an57k10","country_code":"CN","type":"education","lineage":["https://openalex.org/I49232843"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhao","raw_affiliation_strings":["Changchun University, Changchun Jilin 130022, China","Jilin Provincial Key Laboratory of Human Health State Identification and Function Enhancement, Changchun Jilin 130022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changchun University, Changchun Jilin 130022, China","institution_ids":["https://openalex.org/I49232843"]},{"raw_affiliation_string":"Jilin Provincial Key Laboratory of Human Health State Identification and Function Enhancement, Changchun Jilin 130022, China","institution_ids":["https://openalex.org/I4210101652"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381028","display_name":"Yingying Wang","orcid":"https://orcid.org/0000-0003-1506-2506"},"institutions":[{"id":"https://openalex.org/I49232843","display_name":"Changchun University","ror":"https://ror.org/02an57k10","country_code":"CN","type":"education","lineage":["https://openalex.org/I49232843"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingying Wang","raw_affiliation_strings":["Changchun University, Changchun Jilin 130022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changchun University, Changchun Jilin 130022, China","institution_ids":["https://openalex.org/I49232843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100432851","display_name":"Biao Huang","orcid":"https://orcid.org/0000-0001-9082-2216"},"institutions":[{"id":"https://openalex.org/I49232843","display_name":"Changchun University","ror":"https://ror.org/02an57k10","country_code":"CN","type":"education","lineage":["https://openalex.org/I49232843"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao Huang","raw_affiliation_strings":["Changchun University, Changchun Jilin 130022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changchun University, Changchun Jilin 130022, China","institution_ids":["https://openalex.org/I49232843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5037216378"],"corresponding_institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210101652","https://openalex.org/I49232843"],"apc_list":null,"apc_paid":null,"fwci":0.8284,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77149298,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"5","issue":"3","first_page":"824","last_page":"840"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9592000246047974,"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":0.9592000246047974,"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":0.743251383304596},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6932488679885864},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6437152028083801},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.587610125541687},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5366396903991699},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5285314917564392},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.5139267444610596},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5085235834121704},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.47986096143722534},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4760836660861969},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.46884027123451233},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46335721015930176},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4460325837135315},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4155009090900421},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3281635046005249}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.743251383304596},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6932488679885864},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6437152028083801},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.587610125541687},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5366396903991699},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5285314917564392},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.5139267444610596},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5085235834121704},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.47986096143722534},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4760836660861969},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.46884027123451233},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46335721015930176},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4460325837135315},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4155009090900421},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3281635046005249},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1162/dint_a_00192","is_oa":true,"landing_page_url":"https://doi.org/10.1162/dint_a_00192","pdf_url":"https://direct.mit.edu/dint/article-pdf/doi/10.1162/dint_a_00192/2072383/dint_a_00192.pdf","source":{"id":"https://openalex.org/S4210186383","display_name":"Data Intelligence","issn_l":"2096-7004","issn":["2096-7004","2641-435X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a2787afd6f40453b80b6f3e6f0dd5316","is_oa":false,"landing_page_url":"https://doaj.org/article/a2787afd6f40453b80b6f3e6f0dd5316","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data Intelligence, Vol 5, Iss 3 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1162/dint_a_00192","is_oa":true,"landing_page_url":"https://doi.org/10.1162/dint_a_00192","pdf_url":"https://direct.mit.edu/dint/article-pdf/doi/10.1162/dint_a_00192/2072383/dint_a_00192.pdf","source":{"id":"https://openalex.org/S4210186383","display_name":"Data Intelligence","issn_l":"2096-7004","issn":["2096-7004","2641-435X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1973698443","https://openalex.org/W2321588627","https://openalex.org/W2517194566","https://openalex.org/W2533347667","https://openalex.org/W2947596730","https://openalex.org/W2962897570","https://openalex.org/W2991044292","https://openalex.org/W2995481601","https://openalex.org/W4256361765","https://openalex.org/W4309811444","https://openalex.org/W6691723933","https://openalex.org/W6696884364","https://openalex.org/W6731410635","https://openalex.org/W6732370935","https://openalex.org/W6739901393","https://openalex.org/W6748326575","https://openalex.org/W6748634344","https://openalex.org/W6754648737","https://openalex.org/W6755207826","https://openalex.org/W6757791037","https://openalex.org/W6759415298","https://openalex.org/W6762512542","https://openalex.org/W6763602581","https://openalex.org/W6766673545","https://openalex.org/W6767038488","https://openalex.org/W6770953840","https://openalex.org/W6773813506","https://openalex.org/W6779075592","https://openalex.org/W6797110910","https://openalex.org/W6797791348","https://openalex.org/W6809633539","https://openalex.org/W6810240283","https://openalex.org/W6838470195"],"related_works":["https://openalex.org/W2805262146","https://openalex.org/W4379517534","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"],"abstract_inverted_index":{"ABSTRACT":[0],"To":[1],"alleviate":[2],"the":[3,18,25,48,63,79,84,91,100,103,110,116,141,157,170,178,181,195],"problem":[4],"of":[5,8,17,24,50,57,68,102,123,159,194],"under-utilization":[6],"features":[7,80],"sentence-level":[9,29],"relation":[10,30,151],"extraction,":[11],"which":[12],"leads":[13],"to":[14,47,106,119,136,149,155],"insufficient":[15],"performance":[16],"pre-trained":[19,85,92],"language":[20,86,93],"model":[21,87,182],"and":[22,38,52,62,74,77,109,140,163,188],"underutilization":[23],"feature":[26,39,65,111,124,129,189],"vector,":[27],"a":[28,55],"extraction":[31],"method":[32],"based":[33,183],"on":[34,184],"adding":[35,185],"prompt":[36,58,75,186],"information":[37,59,66,112,187],"reuse":[40,190],"is":[41,60,96,113,167],"proposed.":[42],"At":[43],"first,":[44],"in":[45,90,99,133,174],"addition":[46,154],"pair":[49,72],"nominals":[51],"sentence":[53,69],"information,":[54,70,73,76,108],"piece":[56],"added,":[61],"overall":[64],"consists":[67],"entity":[71],"then":[78],"are":[81,131,143],"encoded":[82],"by":[83],"ROBERTA.":[88],"Moreover,":[89],"model,":[94],"BIGRU":[95],"also":[97],"introduced":[98],"composition":[101],"neural":[104,117],"network":[105,118],"extract":[107],"passed":[114],"through":[115],"form":[120,137],"several":[121],"sets":[122],"vectors.":[125],"After":[126],"that,":[127],"these":[128],"vectors":[130],"reused":[132],"different":[134],"combinations":[135],"multiple":[138],"outputs,":[139],"outputs":[142],"aggregated":[144],"using":[145],"ensemble-learning":[146],"soft":[147],"voting":[148],"perform":[150],"classification.":[152],"In":[153,177],"this,":[156],"sum":[158],"cross-entropy,":[160],"KL":[161],"divergence,":[162],"negative":[164],"log-likelihood":[165],"loss":[166,172],"used":[168],"as":[169],"final":[171],"function":[173],"this":[175],"paper.":[176],"comparison":[179],"experiments,":[180],"achieved":[191],"higher":[192],"results":[193],"SemEval-2010":[196],"task":[197],"8":[198],"relational":[199],"dataset.":[200]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}