{"id":"https://openalex.org/W4220943516","doi":"https://doi.org/10.3233/ida-205632","title":"IACN: Interactive attention capsule network for similar case matching","display_name":"IACN: Interactive attention capsule network for similar case matching","publication_year":2022,"publication_date":"2022-03-14","ids":{"openalex":"https://openalex.org/W4220943516","doi":"https://doi.org/10.3233/ida-205632"},"language":"en","primary_location":{"id":"doi:10.3233/ida-205632","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-205632","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5100423996","display_name":"Hui Li","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Li","raw_affiliation_strings":["Law School, Hunan University, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"Law School, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101765266","display_name":"L\u00fc Jin","orcid":"https://orcid.org/0000-0001-7933-0309"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Lu","raw_affiliation_strings":["Changsha Lvzhidao Information Technology Co., Ltd., Changsha, Hunan, China","Law School, Hunan University, Changsha, Hunan, China","Changsha Lvzhidao Information Technology Co., Ltd., Changsha, Hunan, China; Law School, Hunan University, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"Changsha Lvzhidao Information Technology Co., Ltd., Changsha, Hunan, China","institution_ids":[]},{"raw_affiliation_string":"Law School, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Changsha Lvzhidao Information Technology Co., Ltd., Changsha, Hunan, China; Law School, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034405338","display_name":"Yuquan Le","orcid":"https://orcid.org/0000-0001-6283-9037"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuquan Le","raw_affiliation_strings":["Changsha Lvzhidao Information Technology Co., Ltd., Changsha, Hunan, China","College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, China","Changsha Lvzhidao Information Technology Co., Ltd., Changsha, Hunan, China; College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"Changsha Lvzhidao Information Technology Co., Ltd., Changsha, Hunan, China","institution_ids":[]},{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Changsha Lvzhidao Information Technology Co., Ltd., Changsha, Hunan, China; College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067361308","display_name":"Jiawei He","orcid":"https://orcid.org/0000-0001-6872-3254"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiawei He","raw_affiliation_strings":["Changsha Lvzhidao Information Technology Co., Ltd., Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"Changsha Lvzhidao Information Technology Co., Ltd., Changsha, Hunan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5034405338"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":4.0409,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.9386672,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"26","issue":"2","first_page":"525","last_page":"541"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13904","display_name":"Artificial Intelligence Applications","score":0.9840999841690063,"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/T12755","display_name":"Legal Education and Practice Innovations","score":0.9800999760627747,"subfield":{"id":"https://openalex.org/subfields/3308","display_name":"Law"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.74738609790802},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7261347770690918},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6652149558067322},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6257293820381165},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6142898201942444},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5468225479125977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5360119342803955},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5132448673248291},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3777199983596802},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37269407510757446},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35179394483566284},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3442537784576416},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.12386846542358398},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1052507758140564},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09143707156181335},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07825598120689392},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.07114231586456299}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.74738609790802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7261347770690918},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6652149558067322},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6257293820381165},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6142898201942444},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5468225479125977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5360119342803955},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5132448673248291},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3777199983596802},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37269407510757446},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35179394483566284},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3442537784576416},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.12386846542358398},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1052507758140564},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09143707156181335},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07825598120689392},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.07114231586456299},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ida-205632","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-205632","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W1880262756","https://openalex.org/W1964162497","https://openalex.org/W1968776705","https://openalex.org/W1978394996","https://openalex.org/W1979482500","https://openalex.org/W2101746535","https://openalex.org/W2119572012","https://openalex.org/W2126400076","https://openalex.org/W2127589108","https://openalex.org/W2133458109","https://openalex.org/W2136189984","https://openalex.org/W2165612380","https://openalex.org/W2186845332","https://openalex.org/W2211192759","https://openalex.org/W2250539671","https://openalex.org/W2265289447","https://openalex.org/W2286300105","https://openalex.org/W2462305634","https://openalex.org/W2539671052","https://openalex.org/W2593088329","https://openalex.org/W2740833370","https://openalex.org/W2807968901","https://openalex.org/W2890026792","https://openalex.org/W2894176037","https://openalex.org/W2896472796","https://openalex.org/W2911997761","https://openalex.org/W2963099470","https://openalex.org/W2964168600","https://openalex.org/W2972670094","https://openalex.org/W2998733856","https://openalex.org/W3012773356","https://openalex.org/W3035668167","https://openalex.org/W3103181983","https://openalex.org/W6602063408","https://openalex.org/W6603321306","https://openalex.org/W6630533901","https://openalex.org/W6639619044","https://openalex.org/W6702248584"],"related_works":["https://openalex.org/W2012531322","https://openalex.org/W2785900585","https://openalex.org/W2353730437","https://openalex.org/W2490303674","https://openalex.org/W2609066826","https://openalex.org/W2810752900","https://openalex.org/W3186538219","https://openalex.org/W2365677836","https://openalex.org/W1972035260","https://openalex.org/W2531295127"],"abstract_inverted_index":{"The":[0,179,233],"similar":[1,13,51,116,181],"case":[2,52,172,186,196],"matching":[3,53],"task":[4,54,122],"aims":[5],"to":[6,34,50,78,100,143,157],"detect":[7],"which":[8,93,152,207],"two":[9,113],"cases":[10,89,114,218],"are":[11,94],"more":[12,180],"for":[14,97],"a":[15,20,69,73,130,185,230],"given":[16],"triplet.":[17],"It":[18,119,141],"plays":[19],"significant":[21],"role":[22],"in":[23],"the":[24,35,83,86,95,102,112,145,165,168,171,176,188,190,195,211,220,238],"legal":[25,66,98,117,150,177,182,215],"industry":[26],"and":[27,55,240],"thus":[28],"has":[29],"gained":[30],"much":[31],"attention.":[32],"Due":[33],"rapid":[36],"development":[37],"of":[38,82,147,170,184,192,194,214,242],"natural":[39],"language":[40],"processing":[41],"technology,":[42],"various":[43],"deep":[44],"learning":[45],"techniques":[46],"have":[47,115],"been":[48],"applied":[49],"obtained":[56],"attractive":[57],"performance.":[58],"Most":[59],"existing":[60],"researches":[61],"usually":[62,108],"focus":[63,109],"on":[64,110,175,229],"encoding":[65],"documents":[67],"into":[68],"continuous":[70],"vector.":[71],"However,":[72],"unified":[74],"vector":[75],"is":[76],"difficult":[77],"model":[79],"multiple":[80],"elements":[81,155,183,216],"case.":[84],"In":[85,125,162,198],"real":[87],"world,":[88],"contain":[90],"numerous":[91],"elements,":[92],"basis":[96],"practitioners":[99],"judge":[101],"similarity":[103,156,169,193],"among":[104,217],"cases.":[105],"Legal":[106],"experts":[107],"whether":[111],"elements.":[118,178],"makes":[120],"this":[121,126],"especially":[123],"challenging.":[124],"paper,":[127],"we":[128,200],"propose":[129],"novel":[131],"model,":[132],"namely":[133],"Interactive":[134],"Attention":[135],"Capsule":[136],"Network":[137],"(dubbed":[138],"as":[139],"IACN).":[140],"attempts":[142],"simulate":[144],"process":[146],"judgment":[148],"by":[149],"experts,":[151],"captures":[153],"fine-grained":[154],"make":[158],"an":[159,202],"interpretable":[160],"judgment.":[161],"other":[163],"words,":[164],"IACN":[166],"judges":[167],"pairs":[173],"based":[174,228],"pair,":[187],"higher":[189],"degree":[191],"pair.":[197],"addition,":[199],"devise":[201],"interactive":[203,212],"dynamic":[204,222],"routing":[205],"mechanism,":[206],"can":[208],"better":[209],"learn":[210],"representation":[213],"than":[219],"vanilla":[221],"routing.":[223],"We":[224],"conduct":[225],"extensive":[226],"experiments":[227],"real-world":[231],"dataset.":[232],"experimental":[234],"results":[235],"consistently":[236],"demonstrate":[237],"superiorities":[239],"competitiveness":[241],"our":[243],"proposed":[244],"model.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
