{"id":"https://openalex.org/W2965833086","doi":"https://doi.org/10.24963/ijcai.2019/759","title":"Dynamically Route Hierarchical Structure Representation to Attentive Capsule for Text Classification","display_name":"Dynamically Route Hierarchical Structure Representation to Attentive Capsule for Text Classification","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2965833086","doi":"https://doi.org/10.24963/ijcai.2019/759","mag":"2965833086"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/759","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/759","pdf_url":"https://www.ijcai.org/proceedings/2019/0759.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2019/0759.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030014623","display_name":"Wanshan Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanshan Zheng","raw_affiliation_strings":["Guangdong Key Laboratory for Big Data Analysis and Simulation of Public Opinion, The School of Communication and Design, Sun Yat-sen University, Guangzhou, China","School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory for Big Data Analysis and Simulation of Public Opinion, The School of Communication and Design, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000582109","display_name":"Zibin Zheng","orcid":"https://orcid.org/0000-0002-7878-4330"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zibin Zheng","raw_affiliation_strings":["Guangdong Key Laboratory for Big Data Analysis and Simulation of Public Opinion, The School of Communication and Design, Sun Yat-sen University, Guangzhou, China","School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory for Big Data Analysis and Simulation of Public Opinion, The School of Communication and Design, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027600524","display_name":"Hai Wan","orcid":"https://orcid.org/0000-0001-5357-9130"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Wan","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","Guangdong Key Laboratory for Big Data Analysis and Simulation of Public Opinion, The School of Communication and Design, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Guangdong Key Laboratory for Big Data Analysis and Simulation of Public Opinion, The School of Communication and Design, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100429133","display_name":"Chuan Chen","orcid":"https://orcid.org/0000-0002-7048-3445"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Chen","raw_affiliation_strings":["Guangdong Key Laboratory for Big Data Analysis and Simulation of Public Opinion, The School of Communication and Design, Sun Yat-sen University, Guangzhou, China","School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory for Big Data Analysis and Simulation of Public Opinion, The School of Communication and Design, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5464","last_page":"5470"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9977999925613403,"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":0.9977999925613403,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9965999722480774,"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":0.9879000186920166,"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":0.8646974563598633},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6611897945404053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6129816174507141},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5923891067504883},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5781027674674988},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5572952628135681},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4817914366722107},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46906208992004395},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.46811550855636597},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.4645272195339203},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4623476564884186},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4462159276008606},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.41304588317871094}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8646974563598633},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6611897945404053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6129816174507141},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5923891067504883},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5781027674674988},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5572952628135681},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4817914366722107},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46906208992004395},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.46811550855636597},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.4645272195339203},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4623476564884186},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4462159276008606},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.41304588317871094},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2019/759","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/759","pdf_url":"https://www.ijcai.org/proceedings/2019/0759.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2019/759","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/759","pdf_url":"https://www.ijcai.org/proceedings/2019/0759.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7599999904632568,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G263586505","display_name":null,"funder_award_id":"61573386","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3633703093","display_name":null,"funder_award_id":"2018A030310076","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G3683886640","display_name":null,"funder_award_id":"2016YFB1000101","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G751991303","display_name":null,"funder_award_id":"11801595","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8199004219","display_name":null,"funder_award_id":"61722214","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"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2965833086.pdf","grobid_xml":"https://content.openalex.org/works/W2965833086.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W1924770834","https://openalex.org/W2120615054","https://openalex.org/W2157331557","https://openalex.org/W2170240176","https://openalex.org/W2250539671","https://openalex.org/W2251908874","https://openalex.org/W2284289336","https://openalex.org/W2470673105","https://openalex.org/W2597655663","https://openalex.org/W2776990447","https://openalex.org/W2786959368","https://openalex.org/W2794557536","https://openalex.org/W2803297029","https://openalex.org/W2808122494","https://openalex.org/W2808133401","https://openalex.org/W2962739339","https://openalex.org/W2962853356","https://openalex.org/W2963355447","https://openalex.org/W2963499089","https://openalex.org/W2963626623","https://openalex.org/W2963703618","https://openalex.org/W2963840672","https://openalex.org/W2963912736","https://openalex.org/W2963918774","https://openalex.org/W2964046515","https://openalex.org/W4294027320","https://openalex.org/W4294238563","https://openalex.org/W4297699332"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2039546652","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W2087343574"],"abstract_inverted_index":{"Representation":[0],"learning":[1],"and":[2,38,100,112,130],"feature":[3,62,128],"aggregation":[4,125],"are":[5,30,90],"usually":[6],"the":[7,25,46,140],"two":[8],"key":[9],"intermediate":[10,72],"steps":[11],"in":[12,24],"natural":[13],"language":[14],"processing.":[15],"Despite":[16],"deep":[17,77],"neural":[18],"networks":[19],"have":[20],"shown":[21],"strong":[22],"performance":[23,145],"text":[26],"classification":[27],"task,":[28],"they":[29],"unable":[31],"to":[32,63,80,92],"learn":[33],"adaptive":[34],"structure":[35,61,83,88],"features":[36],"automatically":[37],"lack":[39],"of":[40,74,87],"a":[41,54,75,106],"method":[42],"for":[43,127],"fully":[44],"utilizing":[45],"extracted":[47],"features.":[48,84],"In":[49],"this":[50],"paper,":[51],"we":[52,69,104],"propose":[53],"novel":[55],"architecture":[56],"that":[57,139],"dynamically":[58],"routes":[59],"hierarchical":[60,82],"attentive":[64,120],"capsule,":[65],"named":[66],"HAC.":[67],"Specifically,":[68],"first":[70],"adopt":[71],"information":[73],"well-designed":[76],"dilated":[78],"CNN":[79],"form":[81],"Different":[85],"levels":[86],"representations":[89],"corresponding":[91],"various":[93],"linguistic":[94],"units":[95],"such":[96],"as":[97],"word,":[98],"phrase":[99],"clause,":[101],"respectively.":[102],"Furthermore,":[103],"design":[105],"capsule":[107,121],"module":[108],"using":[109],"dynamic":[110],"routing":[111],"equip":[113],"it":[114],"with":[115],"an":[116,123],"attention":[117],"mechanism.":[118],"The":[119],"implements":[122],"effective":[124],"strategy":[126],"clustering":[129],"selection.":[131],"Extensive":[132],"results":[133],"on":[134],"eleven":[135],"benchmark":[136],"datasets":[137],"demonstrate":[138],"proposed":[141],"model":[142],"obtains":[143],"competitive":[144],"against":[146],"several":[147],"state-of-the-art":[148],"baselines.":[149],"Our":[150],"code":[151],"is":[152],"available":[153],"at":[154],"https://github.com/zhengwsh/HAC.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}