{"id":"https://openalex.org/W4389520092","doi":"https://doi.org/10.18653/v1/2023.findings-emnlp.425","title":"Schema-adaptable Knowledge Graph Construction","display_name":"Schema-adaptable Knowledge Graph Construction","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4389520092","doi":"https://doi.org/10.18653/v1/2023.findings-emnlp.425"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2023.findings-emnlp.425","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.findings-emnlp.425","pdf_url":"https://aclanthology.org/2023.findings-emnlp.425.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2023","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2023.findings-emnlp.425.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058342791","display_name":"Hongbin Ye","orcid":"https://orcid.org/0000-0001-5727-5599"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbin Ye","raw_affiliation_strings":["Zhejiang Lab","Zhejiang University","Zhejiang University -Ant Group Joint Laboratory of Knowledge Graph"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Lab","institution_ids":["https://openalex.org/I4210123185"]},{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang University -Ant Group Joint Laboratory of Knowledge Graph","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104248391","display_name":"Honghao Gui","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honghao Gui","raw_affiliation_strings":["Zhejiang University","Zhejiang University -Ant Group Joint Laboratory of Knowledge Graph"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang University -Ant Group Joint Laboratory of Knowledge Graph","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100319817","display_name":"Xin Xu","orcid":"https://orcid.org/0009-0002-2319-1682"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Xu","raw_affiliation_strings":["Zhejiang University","Zhejiang University -Ant Group Joint Laboratory of Knowledge Graph"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang University -Ant Group Joint Laboratory of Knowledge Graph","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330016","display_name":"Xi Chen","orcid":"https://orcid.org/0000-0003-0917-0420"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Chen","raw_affiliation_strings":["Platform and Content Group, Tencent"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Platform and Content Group, Tencent","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102018239","display_name":"Huajun Chen","orcid":"https://orcid.org/0000-0001-5496-7442"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huajun Chen","raw_affiliation_strings":["Zhejiang University","Zhejiang University -Ant Group Joint Laboratory of Knowledge Graph"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang University -Ant Group Joint Laboratory of Knowledge Graph","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087638295","display_name":"Ningyu Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ningyu Zhang","raw_affiliation_strings":["Zhejiang University","Zhejiang University -Ant Group Joint Laboratory of Knowledge Graph"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang University -Ant Group Joint Laboratory of Knowledge Graph","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3067,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.83519656,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"6408","last_page":"6431"},"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":0.996399998664856,"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/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7525887489318848},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.6437414884567261},{"id":"https://openalex.org/keywords/schema-migration","display_name":"Schema migration","score":0.6209534406661987},{"id":"https://openalex.org/keywords/star-schema","display_name":"Star schema","score":0.5816632509231567},{"id":"https://openalex.org/keywords/conceptual-schema","display_name":"Conceptual schema","score":0.5465627908706665},{"id":"https://openalex.org/keywords/database-schema","display_name":"Database schema","score":0.5407845973968506},{"id":"https://openalex.org/keywords/schema-evolution","display_name":"Schema evolution","score":0.4504280686378479},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4365612864494324},{"id":"https://openalex.org/keywords/document-structure-description","display_name":"Document Structure Description","score":0.42803168296813965},{"id":"https://openalex.org/keywords/information-schema","display_name":"Information schema","score":0.42003774642944336},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4099532663822174},{"id":"https://openalex.org/keywords/semi-structured-model","display_name":"Semi-structured model","score":0.3528521955013275},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.14595037698745728},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12205243110656738},{"id":"https://openalex.org/keywords/xml","display_name":"XML","score":0.08488178253173828}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7525887489318848},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.6437414884567261},{"id":"https://openalex.org/C153440673","wikidata":"https://www.wikidata.org/wiki/Q7431119","display_name":"Schema migration","level":5,"score":0.6209534406661987},{"id":"https://openalex.org/C190703929","wikidata":"https://www.wikidata.org/wiki/Q1331138","display_name":"Star schema","level":4,"score":0.5816632509231567},{"id":"https://openalex.org/C29275276","wikidata":"https://www.wikidata.org/wiki/Q2268965","display_name":"Conceptual schema","level":3,"score":0.5465627908706665},{"id":"https://openalex.org/C30775581","wikidata":"https://www.wikidata.org/wiki/Q632285","display_name":"Database schema","level":3,"score":0.5407845973968506},{"id":"https://openalex.org/C2780660560","wikidata":"https://www.wikidata.org/wiki/Q3951893","display_name":"Schema evolution","level":4,"score":0.4504280686378479},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4365612864494324},{"id":"https://openalex.org/C68699486","wikidata":"https://www.wikidata.org/wiki/Q265904","display_name":"Document Structure Description","level":3,"score":0.42803168296813965},{"id":"https://openalex.org/C150012506","wikidata":"https://www.wikidata.org/wiki/Q6031185","display_name":"Information schema","level":5,"score":0.42003774642944336},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4099532663822174},{"id":"https://openalex.org/C56310702","wikidata":"https://www.wikidata.org/wiki/Q2269281","display_name":"Semi-structured model","level":4,"score":0.3528521955013275},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.14595037698745728},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12205243110656738},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.08488178253173828},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C148840519","wikidata":"https://www.wikidata.org/wiki/Q1049878","display_name":"Database design","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2023.findings-emnlp.425","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.findings-emnlp.425","pdf_url":"https://aclanthology.org/2023.findings-emnlp.425.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2023","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2023.findings-emnlp.425","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.findings-emnlp.425","pdf_url":"https://aclanthology.org/2023.findings-emnlp.425.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2023","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G3639257505","display_name":null,"funder_award_id":"2021J190","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"},{"id":"https://openalex.org/G4550267742","display_name":null,"funder_award_id":"62206246","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7528831822","display_name":null,"funder_award_id":"LGG22F030011","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320318547","display_name":"Baidu","ror":"https://ror.org/03vs3wt56"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322927","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884"},{"id":"https://openalex.org/F4320332587","display_name":"Natural Science Foundation of Ningbo","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389520092.pdf"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W136147141","https://openalex.org/W1604644367","https://openalex.org/W2043126905","https://openalex.org/W2106851243","https://openalex.org/W2126204609","https://openalex.org/W2146191853","https://openalex.org/W2158847908","https://openalex.org/W2560647685","https://openalex.org/W2899771611","https://openalex.org/W2963072899","https://openalex.org/W2963360413","https://openalex.org/W2963540014","https://openalex.org/W2963559848","https://openalex.org/W2963588172","https://openalex.org/W2963733234","https://openalex.org/W2997827534","https://openalex.org/W3011411500","https://openalex.org/W3012584427","https://openalex.org/W3034302623","https://openalex.org/W3034862985","https://openalex.org/W3035229828","https://openalex.org/W3084874487","https://openalex.org/W3092050501","https://openalex.org/W3099543642","https://openalex.org/W3100192071","https://openalex.org/W3103819114","https://openalex.org/W3104597568","https://openalex.org/W3121525843","https://openalex.org/W3136624798","https://openalex.org/W3153427360","https://openalex.org/W3167077707","https://openalex.org/W3172335055","https://openalex.org/W3174091926","https://openalex.org/W3174770825","https://openalex.org/W3174945605","https://openalex.org/W3176489198","https://openalex.org/W3177049011","https://openalex.org/W3177312484","https://openalex.org/W3177474367","https://openalex.org/W3194836374","https://openalex.org/W4206640861","https://openalex.org/W4221151629","https://openalex.org/W4221157571","https://openalex.org/W4221166835","https://openalex.org/W4223959328","https://openalex.org/W4225580830","https://openalex.org/W4226278401","https://openalex.org/W4226281578","https://openalex.org/W4229060262","https://openalex.org/W4285176401","https://openalex.org/W4285230217","https://openalex.org/W4285306574","https://openalex.org/W4287855201","https://openalex.org/W4288089799","https://openalex.org/W4292779060","https://openalex.org/W4295883599","https://openalex.org/W4301163820","https://openalex.org/W4307001458","https://openalex.org/W4312053032","https://openalex.org/W4315588884"],"related_works":["https://openalex.org/W166845585","https://openalex.org/W2103472145","https://openalex.org/W1513459549","https://openalex.org/W2105315220","https://openalex.org/W2153512431","https://openalex.org/W1591654213","https://openalex.org/W2137027610","https://openalex.org/W2801323518","https://openalex.org/W1512552654","https://openalex.org/W2561775104"],"abstract_inverted_index":{"Conventional":[0],"Knowledge":[1],"Graph":[2],"Construction":[3],"(KGC)":[4],"approaches":[5,24,120],"typically":[6],"follow":[7],"the":[8,114,169,176],"static":[9],"information":[10,53],"extraction":[11],"paradigm":[12],"with":[13],"a":[14,21,35,43,62,79,99,131],"closed":[15],"set":[16],"of":[17,38,117],"pre-defined":[18],"schema.":[19,151],"As":[20],"result,":[22],"such":[23,121],"fall":[25],"short":[26],"when":[27],"applied":[28],"to":[29,51,70,97,147,175],"dynamic":[30,145],"scenarios":[31],"or":[32],"domains,":[33],"whereas":[34],"new":[36,63],"type":[37],"knowledge":[39],"emerges.":[40],"This":[41],"necessitates":[42],"system":[44],"that":[45,156],"can":[46,158,172],"handle":[47,149],"evolving":[48,150],"schema":[49,82,103,106,110],"automatically":[50],"extract":[52,72],"for":[54,165],"KGC.":[55],"To":[56],"address":[57],"this":[58],"need,":[59],"we":[60],"propose":[61,130],"task":[64],"called":[65],"schema-adaptable":[66,115],"KGC,":[67],"which":[68,138],"aims":[69],"continually":[71],"entity,":[73],"relation,":[74],"and":[75,89,108,126,143],"event":[76],"based":[77,93],"on":[78,94],"dynamically":[80],"changing":[81],"graph":[83],"without":[84],"re-training.":[85],"We":[86,128,167],"first":[87],"split":[88],"convert":[90],"existing":[91],"datasets":[92],"three":[95],"principles":[96],"build":[98],"benchmark,":[100],"i.e.,":[101],"horizontal":[102],"expansion,":[104,107],"vertical":[105],"hybrid":[109],"expansion;":[111],"then":[112],"investigate":[113],"performance":[116],"several":[118],"well-known":[119],"as":[122],"Text2Event,":[123],"TANL,":[124],"UIE":[125],"GPT-3.5.":[127],"further":[129],"simple":[132],"yet":[133],"effective":[134],"baseline":[135],"dubbed":[136],"AdaKGC,":[137],"contains":[139],"schema-enriched":[140],"prefix":[141],"instructor":[142],"schema-conditioned":[144],"decoding":[146],"better":[148],"Comprehensive":[152],"experimental":[153],"results":[154],"illustrate":[155],"AdaKGC":[157],"outperform":[159],"baselines":[160],"but":[161],"still":[162],"have":[163],"room":[164],"improvement.":[166],"hope":[168],"proposed":[170],"work":[171],"deliver":[173],"benefits":[174],"community.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
