{"id":"https://openalex.org/W4412623420","doi":"https://doi.org/10.1109/access.2025.3592203","title":"Entity Pair Relation Classification Based on Contrastive Learning and Biaffine Model","display_name":"Entity Pair Relation Classification Based on Contrastive Learning and Biaffine Model","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412623420","doi":"https://doi.org/10.1109/access.2025.3592203"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3592203","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3592203","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3592203","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079014919","display_name":"Songhua Hu","orcid":"https://orcid.org/0000-0002-7071-1356"},"institutions":[{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Songhua Hu","raw_affiliation_strings":["School of Artificial Intelligence and Big Data, Hefei University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Big Data, Hefei University, Hefei, China","institution_ids":["https://openalex.org/I39774598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057758752","display_name":"Ziming Zhang","orcid":"https://orcid.org/0000-0002-8307-2717"},"institutions":[{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziming Zhang","raw_affiliation_strings":["School of Artificial Intelligence and Big Data, Hefei University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Big Data, Hefei University, Hefei, China","institution_ids":["https://openalex.org/I39774598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086527243","display_name":"H. Wang","orcid":"https://orcid.org/0000-0001-6321-2391"},"institutions":[{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengxin Wang","raw_affiliation_strings":["School of Artificial Intelligence and Big Data, Hefei University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Big Data, Hefei University, Hefei, China","institution_ids":["https://openalex.org/I39774598"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5119309759","display_name":"Lihui Jiang","orcid":"https://orcid.org/0000-0003-4770-2459"},"institutions":[{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihui Jiang","raw_affiliation_strings":["School of Artificial Intelligence and Big Data, Hefei University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Big Data, Hefei University, Hefei, China","institution_ids":["https://openalex.org/I39774598"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5079014919"],"corresponding_institution_ids":["https://openalex.org/I39774598"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0986626,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"131289","last_page":"131302"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9933000206947327,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9933000206947327,"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":0.984499990940094,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9842000007629395,"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":0.7172633409500122},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.640972375869751},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5442405939102173},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47937801480293274},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.17931896448135376}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7172633409500122},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.640972375869751},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5442405939102173},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47937801480293274},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.17931896448135376}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3592203","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3592203","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4bc51895e88f4ac0886dc39f047e09d2","is_oa":true,"landing_page_url":"https://doaj.org/article/4bc51895e88f4ac0886dc39f047e09d2","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 131289-131302 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3592203","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3592203","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1303502097","display_name":null,"funder_award_id":"2023jyjxggyJY253","funder_id":"https://openalex.org/F4320333879","funder_display_name":"Anhui Provincial Quality Engineering Project"},{"id":"https://openalex.org/G4331847243","display_name":null,"funder_award_id":"2022AH010095","funder_id":"https://openalex.org/F4320336582","funder_display_name":"Collaborative Innovation Project of Colleges and Universities of Anhui Province"}],"funders":[{"id":"https://openalex.org/F4320333879","display_name":"Anhui Provincial Quality Engineering Project","ror":null},{"id":"https://openalex.org/F4320336582","display_name":"Collaborative Innovation Project of Colleges and Universities of Anhui Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1604644367","https://openalex.org/W1614298861","https://openalex.org/W2162590473","https://openalex.org/W2552110825","https://openalex.org/W2739874095","https://openalex.org/W2808142148","https://openalex.org/W2951902588","https://openalex.org/W2963351448","https://openalex.org/W2963691377","https://openalex.org/W2974004142","https://openalex.org/W2997876626","https://openalex.org/W3034617555","https://openalex.org/W3090145439","https://openalex.org/W3114962796","https://openalex.org/W3116122129","https://openalex.org/W3116427155","https://openalex.org/W3174864715","https://openalex.org/W3177474367","https://openalex.org/W3194877662","https://openalex.org/W3195893957","https://openalex.org/W3199761064","https://openalex.org/W4212926911","https://openalex.org/W4284897155","https://openalex.org/W4312574844","https://openalex.org/W4390590855","https://openalex.org/W4395012226","https://openalex.org/W4399420449","https://openalex.org/W4399563100","https://openalex.org/W4399999435","https://openalex.org/W4400381511","https://openalex.org/W4400519561","https://openalex.org/W4403680748","https://openalex.org/W4408034366","https://openalex.org/W6636510571","https://openalex.org/W6683883671","https://openalex.org/W6729856301","https://openalex.org/W6755207826","https://openalex.org/W6768058859"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4234874385","https://openalex.org/W2390279801","https://openalex.org/W2323648130","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W3204019825"],"abstract_inverted_index":{"In":[0],"natural":[1],"language":[2],"processing,":[3],"the":[4,62,86,143],"biaffine":[5,63,144],"model":[6,48,60,107],"can":[7],"effectively":[8],"captures":[9],"sentence":[10],"structure":[11],"and":[12,20,54,72,88,103,114,121,137,148],"word":[13],"relationships":[14],"for":[15,157],"tasks":[16],"like":[17,117],"text":[18],"classification":[19,47,149],"relation":[21,29,46,119,158],"extraction.":[22],"However,":[23],"it":[24,67],"struggles":[25],"with":[26],"entity":[27,51,70,82,112,123,134],"pair":[28],"classification,":[30],"particularly":[31,125],"in":[32,109,126,160],"overlapping":[33,81,111],"or":[34],"complex":[35,127],"scenarios.":[36,128],"To":[37],"address":[38],"this,":[39],"this":[40],"paper":[41],"proposes":[42],"BERT-CL-Biaffine,":[43],"an":[44],"improved":[45],"integrating":[49],"bidirectional":[50,133],"contrastive":[52,74,135],"learning":[53,75,136],"a":[55,154],"global":[56,138],"pointer":[57,139],"network.":[58],"The":[59,106,129],"enhances":[61],"architecture":[64],"by":[65],"training":[66],"to":[68,76],"identify":[69],"boundaries":[71],"leveraging":[73],"strengthen":[77],"semantic":[78],"associations":[79],"between":[80],"pairs.":[83],"Experiments":[84],"on":[85],"NYT":[87],"WebNLG":[89],"datasets":[90],"demonstrate":[91],"that":[92,132],"BERT-CL-Biaffine":[93],"outperforms":[94],"baseline":[95],"models,":[96],"achieving":[97],"F1":[98],"score":[99],"improvements":[100],"of":[101],"1%":[102],"1.2%,":[104],"respectively.":[105],"excels":[108],"classifying":[110],"pairs":[113],"handles":[115],"challenges":[116],"imbalanced":[118],"types":[120],"ambiguous":[122],"features,":[124],"results":[130],"validate":[131],"networks":[140],"significantly":[141],"enhance":[142],"model\u2019s":[145],"feature":[146],"representation":[147],"performance.":[150],"This":[151],"approach":[152],"offers":[153],"robust":[155],"solution":[156],"extraction":[159],"intricate":[161],"textual":[162],"contexts.":[163]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}