{"id":"https://openalex.org/W4405380000","doi":"https://doi.org/10.1007/s10489-024-06095-5","title":"Knowledge interaction graph guided prompting for event causality identification","display_name":"Knowledge interaction graph guided prompting for event causality identification","publication_year":2024,"publication_date":"2024-12-13","ids":{"openalex":"https://openalex.org/W4405380000","doi":"https://doi.org/10.1007/s10489-024-06095-5"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-024-06095-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-024-06095-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-024-06095-5.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","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/s10489-024-06095-5.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056377542","display_name":"Ruijuan Hu","orcid":"https://orcid.org/0000-0002-6973-9829"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruijuan Hu","raw_affiliation_strings":["PLA Strategic Support Force Information Engineering University, Zhengzhou, 450001, Henan, China"],"affiliations":[{"raw_affiliation_string":"PLA Strategic Support Force Information Engineering University, Zhengzhou, 450001, Henan, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108050345","display_name":"Jian Li","orcid":"https://orcid.org/0000-0002-5239-9469"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Li","raw_affiliation_strings":["PLA Strategic Support Force Information Engineering University, Zhengzhou, 450001, Henan, China"],"affiliations":[{"raw_affiliation_string":"PLA Strategic Support Force Information Engineering University, Zhengzhou, 450001, Henan, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378956","display_name":"Haiyan Liu","orcid":"https://orcid.org/0000-0002-3442-1722"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyan Liu","raw_affiliation_strings":["PLA Strategic Support Force Information Engineering University, Zhengzhou, 450001, Henan, China"],"affiliations":[{"raw_affiliation_string":"PLA Strategic Support Force Information Engineering University, Zhengzhou, 450001, Henan, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034606659","display_name":"Guilin Qi","orcid":"https://orcid.org/0000-0003-0150-7236"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guilin Qi","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, 211100, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, 211100, Jiangsu, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100398035","display_name":"Yuxin Zhang","orcid":"https://orcid.org/0000-0002-8045-9297"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxin Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, 211100, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, 211100, Jiangsu, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5056377542"],"corresponding_institution_ids":["https://openalex.org/I169689159"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":1.4545,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.85822281,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"55","issue":"2","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":0.9937999844551086,"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":0.9937999844551086,"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/T11719","display_name":"Data Quality and Management","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9930999875068665,"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":0.8985012769699097},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.7233923077583313},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6266829967498779},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5218678712844849},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.49399858713150024},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4914940595626831},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4133654534816742},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.38546615839004517},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.354850172996521},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3465287685394287},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3306353986263275}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8985012769699097},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.7233923077583313},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6266829967498779},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5218678712844849},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.49399858713150024},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4914940595626831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4133654534816742},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38546615839004517},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.354850172996521},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3465287685394287},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3306353986263275},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-024-06095-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-024-06095-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-024-06095-5.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10489-024-06095-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-024-06095-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-024-06095-5.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405380000.pdf","grobid_xml":"https://content.openalex.org/works/W4405380000.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1492031853","https://openalex.org/W1973501513","https://openalex.org/W2114117930","https://openalex.org/W2250745907","https://openalex.org/W2251241621","https://openalex.org/W2508239101","https://openalex.org/W2561529111","https://openalex.org/W2604792945","https://openalex.org/W2741237963","https://openalex.org/W2741389109","https://openalex.org/W2928587905","https://openalex.org/W2937815589","https://openalex.org/W2946361563","https://openalex.org/W2948947170","https://openalex.org/W2962946486","https://openalex.org/W2963501608","https://openalex.org/W2964306921","https://openalex.org/W2970954297","https://openalex.org/W2971134795","https://openalex.org/W2998385486","https://openalex.org/W3034268502","https://openalex.org/W3095789240","https://openalex.org/W3102970018","https://openalex.org/W3116132308","https://openalex.org/W3116218298","https://openalex.org/W3128247534","https://openalex.org/W3172776300","https://openalex.org/W3173526187","https://openalex.org/W3174388632","https://openalex.org/W3176513923","https://openalex.org/W3188635098","https://openalex.org/W3194836374","https://openalex.org/W3205954317","https://openalex.org/W3213896436","https://openalex.org/W4283793745","https://openalex.org/W4285247752","https://openalex.org/W4296557505","https://openalex.org/W4307935822","https://openalex.org/W4309811444","https://openalex.org/W4377100957","https://openalex.org/W4387643353","https://openalex.org/W4388312423","https://openalex.org/W6600050674","https://openalex.org/W6600424091"],"related_works":["https://openalex.org/W2081494945","https://openalex.org/W2389053294","https://openalex.org/W1970893504","https://openalex.org/W4312071518","https://openalex.org/W2901208600","https://openalex.org/W1677090476","https://openalex.org/W830525666","https://openalex.org/W2330229995","https://openalex.org/W3014724311","https://openalex.org/W167306138"],"abstract_inverted_index":{"Event":[0],"causality":[1,7,32],"identification":[2,33],"(ECI)":[3],"aims":[4],"to":[5,41,65,79,98],"identify":[6],"between":[8,105],"event":[9,100],"pairs":[10],"in":[11,30],"a":[12,19,49],"text,":[13],"and":[14,34,62,89,107],"is":[15],"commonly":[16],"approached":[17],"as":[18],"supervised":[20],"classification":[21],"task":[22],"using":[23],"pre-trained":[24],"language":[25],"models":[26],"(PLMs).":[27],"However,":[28],"limitations":[29],"implicit":[31,82],"insufficient":[35],"event-knowledge":[36,91],"interaction":[37,64,92,104],"pose":[38],"significant":[39],"challenges":[40],"ECI.":[42],"To":[43],"address":[44],"these":[45],"issues,":[46],"we":[47,84],"propose":[48],"novel":[50],"Knowledge":[51],"Interaction":[52],"Graph":[53],"guided":[54],"Prompt":[55],"Tuning":[56],"(KIGP),":[57],"which":[58],"leverages":[59],"prompt":[60],"tuning":[61],"knowledge":[63,97],"fully":[66],"exploit":[67],"the":[68,86],"potential":[69],"of":[70],"PLMs":[71],"for":[72],"ECI":[73],"by":[74],"integrating":[75],"external":[76,96],"knowledge.":[77,108],"Specifically,":[78],"accurately":[80],"capture":[81],"causality,":[83],"design":[85],"guidance":[87],"mechanism":[88],"construct":[90],"graphs":[93],"that":[94,116],"enable":[95],"enhance":[99],"representations":[101],"through":[102],"deep":[103],"events":[106],"Experimental":[109],"results":[110],"on":[111],"two":[112],"benchmark":[113],"datasets":[114],"demonstrate":[115],"our":[117],"model":[118],"outperforms":[119],"existing":[120],"approaches":[121],"significantly.":[122]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}