{"id":"https://openalex.org/W2896621044","doi":"https://doi.org/10.1109/ijcnn.2018.8489556","title":"Classify Sentence from Multiple Perspectives with Category Expert Attention Network","display_name":"Classify Sentence from Multiple Perspectives with Category Expert Attention Network","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2896621044","doi":"https://doi.org/10.1109/ijcnn.2018.8489556","mag":"2896621044"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2018.8489556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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":null,"display_name":"Shiyun Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyun Chen","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University, Shanghai, P.R.China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, Shanghai, P.R.China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021039856","display_name":"Maoquan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maoquan Wang","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University, Shanghai, P.R.China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, Shanghai, P.R.China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100720453","display_name":"Jiacheng Zhang","orcid":"https://orcid.org/0000-0002-2311-7629"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiacheng Zhang","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University, Shanghai, P.R.China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, Shanghai, P.R.China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010540039","display_name":"Liang He","orcid":"https://orcid.org/0000-0002-4723-5486"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang He","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University, Shanghai, P.R.China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, Shanghai, P.R.China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":0.169,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61176231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"8"},"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9991000294685364,"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":0.9990000128746033,"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/margin","display_name":"Margin (machine learning)","score":0.7945407032966614},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.7852674126625061},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7347316741943359},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6485410928726196},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6014541387557983},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.536001980304718},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5073646903038025},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4790114760398865},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3449190855026245},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09958189725875854},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.09425023198127747}],"concepts":[{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.7945407032966614},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.7852674126625061},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7347316741943359},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6485410928726196},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6014541387557983},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.536001980304718},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5073646903038025},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4790114760398865},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3449190855026245},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09958189725875854},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09425023198127747},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2018.8489556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1423339008","https://openalex.org/W1522301498","https://openalex.org/W1581407678","https://openalex.org/W1614298861","https://openalex.org/W1662133657","https://openalex.org/W1832693441","https://openalex.org/W1889268436","https://openalex.org/W1924770834","https://openalex.org/W2005708641","https://openalex.org/W2069143585","https://openalex.org/W2070246124","https://openalex.org/W2117130368","https://openalex.org/W2120615054","https://openalex.org/W2130942839","https://openalex.org/W2131744502","https://openalex.org/W2133564696","https://openalex.org/W2158139315","https://openalex.org/W2170240176","https://openalex.org/W2250539671","https://openalex.org/W2250966211","https://openalex.org/W2264105282","https://openalex.org/W2271328876","https://openalex.org/W2470673105","https://openalex.org/W2550553598","https://openalex.org/W2597655663","https://openalex.org/W2624221207","https://openalex.org/W2781895711","https://openalex.org/W2949547296","https://openalex.org/W2949888546","https://openalex.org/W2950015165","https://openalex.org/W2950577311","https://openalex.org/W2950910987","https://openalex.org/W2952186591","https://openalex.org/W2963012544","https://openalex.org/W2963355447","https://openalex.org/W2963436889","https://openalex.org/W2963804993","https://openalex.org/W2963921497","https://openalex.org/W2964121744","https://openalex.org/W2964308564","https://openalex.org/W2998704965","https://openalex.org/W4285719527","https://openalex.org/W6628124331","https://openalex.org/W6629028937","https://openalex.org/W6631190155","https://openalex.org/W6634906388","https://openalex.org/W6636510571","https://openalex.org/W6637433842","https://openalex.org/W6638834111","https://openalex.org/W6639364127","https://openalex.org/W6640212811","https://openalex.org/W6651673773","https://openalex.org/W6675802400","https://openalex.org/W6679434410","https://openalex.org/W6679436768","https://openalex.org/W6679775712","https://openalex.org/W6680532216","https://openalex.org/W6683557909","https://openalex.org/W6685053522","https://openalex.org/W6694280992","https://openalex.org/W6728925852","https://openalex.org/W6735377749","https://openalex.org/W6739768249","https://openalex.org/W6747565529"],"related_works":["https://openalex.org/W3125011624","https://openalex.org/W1508631387","https://openalex.org/W2370917603","https://openalex.org/W2068608913","https://openalex.org/W2952760143","https://openalex.org/W2017776670","https://openalex.org/W2347897961","https://openalex.org/W2340870721","https://openalex.org/W2358318464","https://openalex.org/W2979236518"],"abstract_inverted_index":{"Attention":[0,62],"mechanisms":[1],"achieve":[2,114],"promising":[3],"performance":[4],"in":[5],"text":[6],"classification.":[7],"When":[8],"classifying":[9],"the":[10,19,75,79,110],"sentence":[11,66],"into":[12],"a":[13,23,43,52,59,105],"certain":[14],"category":[15,49,70,126],"among":[16],"multiple":[17],"candidates,":[18],"existing":[20],"attention":[21,25,76],"utilizes":[22],"unified":[24],"weight":[26],"vector":[27,45],"to":[28,46,64,123],"determine":[29],"contribution":[30],"of":[31,51,74,82],"each":[32,83],"word.":[33],"We":[34,85,118],"observe":[35],"that":[36,97],"it":[37],"is":[38],"not":[39],"accurate":[40],"enough":[41],"for":[42],"single":[44],"capture":[47],"diverse":[48],"features":[50,67],"sentence.":[53],"In":[54],"this":[55],"paper,":[56],"we":[57,113],"propose":[58],"Category":[60],"Expert":[61],"matrix":[63,77],"extract":[65],"from":[68],"different":[69],"perspectives.":[71],"Each":[72],"row":[73],"represents":[78],"unique":[80],"feature":[81],"category.":[84],"evaluate":[86],"our":[87,98],"model":[88,99],"on":[89,109],"four":[90],"large":[91],"scale":[92],"datasets.":[93],"Empirical":[94],"results":[95],"show":[96],"outperforms":[100],"previous":[101],"baseline":[102],"methods":[103],"by":[104],"significant":[106],"margin.":[107],"Especially":[108],"NLPCC":[111],"dataset,":[112],"new":[115],"state-of-the-art":[116],"results.":[117],"also":[119],"conduct":[120],"visualization":[121],"experiments":[122],"interpret":[124],"how":[125],"expert":[127],"information":[128],"analyzes":[129],"sentences.":[130]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
