{"id":"https://openalex.org/W4385484803","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191545","title":"Interactive Capsule Networks with a Novel Dynamic Routing Mechanism for Implicit Discourse Relation Recognition","display_name":"Interactive Capsule Networks with a Novel Dynamic Routing Mechanism for Implicit Discourse Relation Recognition","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385484803","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191545"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn54540.2023.10191545","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn54540.2023.10191545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101230030","display_name":"Jing Xu","orcid":"https://orcid.org/0000-0003-3588-5067"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Xu","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University,Tianjin,China","College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101616524","display_name":"Ruifang He","orcid":"https://orcid.org/0000-0001-7118-6314"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruifang He","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University,Tianjin,China","College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025780527","display_name":"Haodong Zhao","orcid":"https://orcid.org/0000-0002-4405-1649"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haodong Zhao","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University,Tianjin,China","College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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":0.9998000264167786,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9936000108718872,"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/treebank","display_name":"Treebank","score":0.9194580316543579},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8220999240875244},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.7778890132904053},{"id":"https://openalex.org/keywords/argument","display_name":"Argument (complex analysis)","score":0.7660841941833496},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.642469048500061},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.539550244808197},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.5175406336784363},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4710783064365387},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46313029527664185},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.45640504360198975},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4292532205581665},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37807804346084595},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.23308250308036804},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.2298978567123413},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.12565991282463074},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.09628704190254211}],"concepts":[{"id":"https://openalex.org/C206134035","wikidata":"https://www.wikidata.org/wiki/Q811525","display_name":"Treebank","level":3,"score":0.9194580316543579},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8220999240875244},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.7778890132904053},{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.7660841941833496},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.642469048500061},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.539550244808197},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.5175406336784363},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4710783064365387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46313029527664185},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45640504360198975},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4292532205581665},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37807804346084595},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.23308250308036804},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.2298978567123413},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.12565991282463074},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.09628704190254211},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn54540.2023.10191545","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn54540.2023.10191545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W2966661","https://openalex.org/W1614298861","https://openalex.org/W1978333149","https://openalex.org/W2064675550","https://openalex.org/W2109462987","https://openalex.org/W2166957049","https://openalex.org/W2251826083","https://openalex.org/W2514196055","https://openalex.org/W2551396370","https://openalex.org/W2578068342","https://openalex.org/W2741217076","https://openalex.org/W2760888253","https://openalex.org/W2824107965","https://openalex.org/W2864258299","https://openalex.org/W2879016106","https://openalex.org/W2950375454","https://openalex.org/W2950404230","https://openalex.org/W2953029945","https://openalex.org/W2962739339","https://openalex.org/W2962998183","https://openalex.org/W2963033987","https://openalex.org/W2963209355","https://openalex.org/W2963703618","https://openalex.org/W2964071174","https://openalex.org/W2964168600","https://openalex.org/W2964226791","https://openalex.org/W2979390460","https://openalex.org/W2996816564","https://openalex.org/W3035563811","https://openalex.org/W3100141704","https://openalex.org/W3117290697","https://openalex.org/W4285256478","https://openalex.org/W6600115225","https://openalex.org/W6636510571","https://openalex.org/W6684468177","https://openalex.org/W6729654139","https://openalex.org/W6732606202","https://openalex.org/W6743446608","https://openalex.org/W6753023149","https://openalex.org/W6753428393","https://openalex.org/W6753453915"],"related_works":["https://openalex.org/W2740662036","https://openalex.org/W3142119062","https://openalex.org/W159209093","https://openalex.org/W589103562","https://openalex.org/W1991220724","https://openalex.org/W2251234095","https://openalex.org/W131522978","https://openalex.org/W2250768577","https://openalex.org/W2250721770","https://openalex.org/W4293479148"],"abstract_inverted_index":{"Implicit":[0],"discourse":[1,12,26,49,86,98],"relation":[2,87],"recognition":[3],"aims":[4],"to":[5,38,75,85],"understand":[6],"and":[7],"infer":[8],"the":[9,23,29,40,77,97,106,113,119,128,134],"relations":[10],"between":[11,44],"arguments,":[13],"which":[14,35,94],"is":[15],"a":[16,32,56],"classification":[17],"task.":[18],"Existing":[19],"models":[20],"mostly":[21],"model":[22,74],"interaction":[24,42,117],"of":[25,31,102,121,136],"arguments":[27,46],"from":[28,118],"perspective":[30,120],"single":[33],"relation,":[34],"may":[36],"fail":[37],"learn":[39],"complicated":[41],"patterns":[43],"two":[45],"under":[47],"different":[48],"relations.":[50,123],"In":[51],"this":[52],"paper,":[53],"we":[54],"propose":[55],"novel":[57],"neural":[58],"approach":[59],"based":[60],"on":[61,127],"capsule":[62],"networks":[63],"with":[64],"dynamic":[65,108],"interactive":[66,109],"routing":[67,110],"mechanism,":[68],"named":[69],"Interactive":[70],"Capsule":[71],"Networks":[72],"(ICN)":[73],"address":[76],"issues.":[78],"It":[79],"dynamically":[80],"maps":[81],"argument":[82,103,116],"feature":[83],"capsules":[84,88],"in":[89],"an":[90],"iterative":[91],"refinement":[92],"manner,":[93],"can":[95],"mine":[96],"relation-indicative":[99],"semantic":[100],"clues":[101],"features.":[104],"Then,":[105],"designed":[107],"mechanism":[111],"captures":[112],"more":[114],"comprehensive":[115],"multiple":[122],"The":[124],"experimental":[125],"results":[126],"Penn":[129],"Discourse":[130],"TreeBank":[131],"(PDTB)":[132],"demonstrate":[133],"effectiveness":[135],"our":[137],"proposed":[138],"ICN":[139],"model.":[140]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}