{"id":"https://openalex.org/W4282916552","doi":"https://doi.org/10.1109/tnnls.2022.3177641","title":"Multistructure Contrastive Learning for Pretraining Event Representation","display_name":"Multistructure Contrastive Learning for Pretraining Event Representation","publication_year":2022,"publication_date":"2022-06-06","ids":{"openalex":"https://openalex.org/W4282916552","doi":"https://doi.org/10.1109/tnnls.2022.3177641","pmid":"https://pubmed.ncbi.nlm.nih.gov/35666789"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2022.3177641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3177641","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5059878190","display_name":"Jianming Zheng","orcid":"https://orcid.org/0000-0002-5594-256X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianming Zheng","raw_affiliation_strings":["Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-5594-256X","affiliations":[{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066462738","display_name":"Fei Cai","orcid":"https://orcid.org/0000-0002-5452-5350"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Cai","raw_affiliation_strings":["Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361891","display_name":"Jun Liu","orcid":"https://orcid.org/0000-0002-6004-0675"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Liu","raw_affiliation_strings":["Department of Computer Science, Xi’an Jiaotong University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-6004-0675","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042809970","display_name":"Yanxiang Ling","orcid":"https://orcid.org/0000-0002-8725-8316"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanxiang Ling","raw_affiliation_strings":["Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026327666","display_name":"Honghui Chen","orcid":"https://orcid.org/0009-0003-5234-0592"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honghui Chen","raw_affiliation_strings":["Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7418,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.86221442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"35","issue":"1","first_page":"842","last_page":"854"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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":0.9994999766349792,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9984999895095825,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9904000163078308,"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/event","display_name":"Event (particle physics)","score":0.629006028175354},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5959041118621826},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48342597484588623},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4082145690917969},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.40286922454833984},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3743244409561157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34946683049201965},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.0921582579612732},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06610748171806335},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.06447073817253113}],"concepts":[{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.629006028175354},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5959041118621826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48342597484588623},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4082145690917969},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.40286922454833984},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3743244409561157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34946683049201965},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0921582579612732},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06610748171806335},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.06447073817253113},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2022.3177641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3177641","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:35666789","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35666789","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6100000143051147,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G6327288195","display_name":null,"funder_award_id":"61702526","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":50,"referenced_works":["https://openalex.org/W1533861849","https://openalex.org/W1566289585","https://openalex.org/W2003458629","https://openalex.org/W2005227457","https://openalex.org/W2123442489","https://openalex.org/W2138621090","https://openalex.org/W2145374219","https://openalex.org/W2158794898","https://openalex.org/W2194775991","https://openalex.org/W2250539671","https://openalex.org/W2335559472","https://openalex.org/W2625280254","https://openalex.org/W2758362814","https://openalex.org/W2788044935","https://openalex.org/W2842511635","https://openalex.org/W2904617336","https://openalex.org/W2949875129","https://openalex.org/W2951682790","https://openalex.org/W2963101081","https://openalex.org/W2963658765","https://openalex.org/W2964080504","https://openalex.org/W2970169050","https://openalex.org/W3034893848","https://openalex.org/W3035027743","https://openalex.org/W3035524453","https://openalex.org/W3035725276","https://openalex.org/W3095746859","https://openalex.org/W3100210443","https://openalex.org/W3108655343","https://openalex.org/W3115594531","https://openalex.org/W3120793869","https://openalex.org/W3153427360","https://openalex.org/W3154503084","https://openalex.org/W4293547730","https://openalex.org/W4297808394","https://openalex.org/W6631943919","https://openalex.org/W6638545294","https://openalex.org/W6682203012","https://openalex.org/W6682691769","https://openalex.org/W6682948231","https://openalex.org/W6691459498","https://openalex.org/W6703264596","https://openalex.org/W6726873649","https://openalex.org/W6745537798","https://openalex.org/W6754278344","https://openalex.org/W6755207826","https://openalex.org/W6755573351","https://openalex.org/W6768841368","https://openalex.org/W6774314701","https://openalex.org/W6784174446"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2795079307","https://openalex.org/W2793058541","https://openalex.org/W1983629434","https://openalex.org/W2055929693","https://openalex.org/W4324271173","https://openalex.org/W1967645776","https://openalex.org/W2352227742","https://openalex.org/W4390679071","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Event":[0],"representation":[1,35,78],"aims":[2],"to":[3,18,38,66,100,115,136,155],"transform":[4],"individual":[5],"events":[6],"from":[7,82,120],"a":[8,13,21,60,109,128,147],"narrative":[9],"event":[10,31,34,55,62,70,77,96],"chain":[11],"into":[12],"set":[14],"of":[15,23,48,140,159,191,195,209,213,223,227],"low-dimensional":[16],"vectors":[17],"help":[19],"support":[20],"series":[22],"downstream":[24],"applications,":[25],"e.g.,":[26],"similarity":[27,218,235],"differentiation":[28],"and":[29,44,88,102,220],"missing":[30],"prediction.":[32],"Traditional":[33],"models":[36,79],"tend":[37],"focus":[39],"on":[40],"single":[41],"modeling":[42],"perspectives":[43],"thus":[45],"are":[46,92],"incapable":[47],"capturing":[49],"physically":[50],"disconnected":[51],"yet":[52],"semantically":[53],"connected":[54],"segments.":[56,71],"We,":[57],"therefore,":[58],"propose":[59],"heterogeneous":[61],"graph":[63,145,160],"model":[64,184],"(HeterEvent)":[65],"explicitly":[67],"represent":[68],"such":[69],"Furthermore,":[72],"another":[73],"challenge":[74],"in":[75,95,193,211,225],"traditional":[76],"is":[80,134,153],"inherited":[81],"the":[83,117,125,138,144,157,180,198,202,216,228,232],"datasets":[84],"themselves.":[85],"Data":[86],"sparsity":[87],"insufficient":[89],"labeled":[90],"data":[91],"commonly":[93],"encountered":[94],"chains,":[97],"easily":[98],"leading":[99],"overfitting":[101],"undertraining.":[103],"Therefore,":[104],"we":[105],"extend":[106],"HeterEvent":[107],"with":[108,179],"multistructure":[110],"contrastive":[111,130,149],"learning":[112,131,150],"framework":[113],"(MulCL)":[114],"alleviate":[116],"training":[118,161],"risks":[119],"two":[121],"structural":[122],"perspectives.":[123],"From":[124,143],"sequential":[126,141],"perspective,":[127,146],"sequential-view":[129],"component":[132,151],"(SeqCL)":[133],"designed":[135],"facilitate":[137],"acquisition":[139],"characteristics.":[142],"graph-view":[148],"(GraCL)":[152],"proposed":[154,172,182],"enhance":[156],"robustness":[158],"by":[162],"comparing":[163],"different":[164],"corrupted":[165],"graphs.":[166],"Experimental":[167],"results":[168],"confirm":[169],"that":[170],"our":[171],"MulCL$_{[W+E]}$model":[173],"outperforms":[174],"state-of-the-art":[175],"baselines.":[176],"Specifically,":[177],"compared":[178],"previously":[181],"supervised":[183],"HeterEvent$_{[W+E]}$[Zhenget":[185],"al.(2020)],":[186],"MulCL$_{[W+E]}$shows":[187],"an":[188,206,221],"average":[189,207],"improvement":[190,208,222],"5.3%":[192],"terms":[194,212,226],"accuracy":[196,214],"for":[197,215,231],"inference-ability-based":[199],"tasks.":[200],"For":[201],"representation-ability-based":[203],"tasks,":[204],"MulCL$_{[W+E]}$achieves":[205],"2.7%":[210],"hard":[217],"tasks":[219],"4.1%":[224],"Spearman\u2019s":[229],"correlation":[230],"transitive":[233],"sentence":[234],"task,":[236],"respectively.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}