{"id":"https://openalex.org/W4408254251","doi":"https://doi.org/10.1109/access.2025.3548111","title":"SECNN: Squeeze-and-Excitation Convolutional Neural Network for Sentence Classification","display_name":"SECNN: Squeeze-and-Excitation Convolutional Neural Network for Sentence Classification","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408254251","doi":"https://doi.org/10.1109/access.2025.3548111"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3548111","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3548111","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3548111","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041775764","display_name":"Shandong Yuan","orcid":"https://orcid.org/0000-0003-3433-0940"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shandong Yuan","raw_affiliation_strings":["School of Information and Communication, National University of Defense Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication, National University of Defense Technology, Wuhan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030224022","display_name":"Zili Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zili Zou","raw_affiliation_strings":["School of Information and Communication, National University of Defense Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication, National University of Defense Technology, Wuhan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031130592","display_name":"Han Zhou","orcid":"https://orcid.org/0000-0002-8367-7695"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Zhou","raw_affiliation_strings":["School of Information and Communication, National University of Defense Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication, National University of Defense Technology, Wuhan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029454307","display_name":"Yun Ren","orcid":"https://orcid.org/0000-0002-7974-8569"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Ren","raw_affiliation_strings":["School of Information and Communication, National University of Defense Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication, National University of Defense Technology, Wuhan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058058113","display_name":"Jiandong Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Wu","raw_affiliation_strings":["School of Information and Communication, National University of Defense Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication, National University of Defense Technology, Wuhan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101735652","display_name":"Kai Yan","orcid":"https://orcid.org/0009-0007-6096-2825"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Yan","raw_affiliation_strings":["School of Information and Communication, National University of Defense Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication, National University of Defense Technology, Wuhan, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5041775764"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":14.9093,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.98564157,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"13","issue":null,"first_page":"42858","last_page":"42865"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.7980999946594238,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.7980999946594238,"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/T10028","display_name":"Topic Modeling","score":0.6904000043869019,"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":0.7589472532272339},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7011462450027466},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6175175905227661},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5503324270248413},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37048405408859253},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3605196177959442},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3364749848842621}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7589472532272339},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7011462450027466},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6175175905227661},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5503324270248413},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37048405408859253},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3605196177959442},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3364749848842621}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3548111","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3548111","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f8db1d5f23e14ef689cc6aa42dc0076c","is_oa":true,"landing_page_url":"https://doaj.org/article/f8db1d5f23e14ef689cc6aa42dc0076c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 42858-42865 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3548111","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3548111","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W2120615054","https://openalex.org/W2211192759","https://openalex.org/W2250539671","https://openalex.org/W2510001427","https://openalex.org/W2912278761","https://openalex.org/W2963420686","https://openalex.org/W2963921497","https://openalex.org/W2964331270","https://openalex.org/W2976602497","https://openalex.org/W3014812975","https://openalex.org/W3016023440","https://openalex.org/W3080359515","https://openalex.org/W3121726600","https://openalex.org/W3204400920","https://openalex.org/W3210728438","https://openalex.org/W4200260392","https://openalex.org/W4226112897","https://openalex.org/W4293462507","https://openalex.org/W4386232149","https://openalex.org/W4399022174","https://openalex.org/W4400765405","https://openalex.org/W4403826810","https://openalex.org/W4406011563","https://openalex.org/W6636510571","https://openalex.org/W6688533166","https://openalex.org/W6695662000","https://openalex.org/W6735377749","https://openalex.org/W6755207826","https://openalex.org/W6774049762","https://openalex.org/W6780310850","https://openalex.org/W6791186403","https://openalex.org/W6862884678"],"related_works":["https://openalex.org/W4391621807","https://openalex.org/W2375873920","https://openalex.org/W2146114872","https://openalex.org/W2392060890","https://openalex.org/W2392760275","https://openalex.org/W2083530853","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391621790","https://openalex.org/W4239306820"],"abstract_inverted_index":{"Sentence":[0],"classification":[1,80],"constitutes":[2],"a":[3,93],"fundamental":[4],"task":[5],"in":[6,17,51,166],"natural":[7],"language":[8],"processing.":[9],"Convolutional":[10,96],"Neural":[11,97],"Networks":[12],"(CNNs)":[13],"have":[14,72],"gained":[15],"prominence":[16],"this":[18,90],"domain":[19],"due":[20,38],"to":[21,24,39,78,123],"their":[22],"capacity":[23],"extract":[25],"n-gram":[26],"features":[27,113],"through":[28],"parallel":[29],"convolutional":[30,45,112],"filters,":[31],"effectively":[32],"capturing":[33],"local":[34],"lexical":[35],"correlations.":[36],"However,":[37],"the":[40,145],"constrained":[41],"receptive":[42],"field":[43],"of":[44,168],"operations,":[46],"conventional":[47,84],"CNNs":[48],"exhibit":[49],"limitations":[50],"modeling":[52,66],"long-range":[53],"contextual":[54,65],"dependencies.":[55,136],"To":[56],"address":[57],"this,":[58],"attention":[59,103,126],"mechanisms":[60],"\u00e2\u0102\u015e":[61,71],"which":[62],"enable":[63],"global":[64],"and":[67,118,141],"keyword":[68],"saliency":[69],"detection":[70],"been":[73],"integrated":[74],"with":[75],"CNN":[76,105],"architectures":[77],"enhance":[79],"performance.":[81],"Diverging":[82],"from":[83],"approaches":[85],"that":[86,100],"emphasize":[87],"lexical-level":[88],"attention,":[89],"study":[91],"introduces":[92],"novel":[94],"Squeeze-and-Excitation":[95,120],"Network":[98],"(SECNN)":[99],"implements":[101],"channel-wise":[102,125],"on":[104,134,155,158],"feature":[106,131],"maps.":[107],"Specifically,":[108],"SECNN":[109],"aggregates":[110],"multi-scale":[111],"as":[114],"distinct":[115],"semantic":[116],"channels":[117],"employs":[119],"(SE)":[121],"blocks":[122],"learn":[124],"weights,":[127],"thereby":[128],"enabling":[129],"dynamic":[130],"recalibration":[132],"based":[133],"inter-channel":[135],"Across":[137],"MR,":[138],"IMDb,":[139],"AGNews":[140],"DBpedia":[142],"benchmark":[143],"datasets,":[144],"proposed":[146],"model":[147],"achieves":[148],"marginal":[149],"yet":[150],"consistent":[151],"improvements":[152],"(0.2%":[153],"F1":[154],"MR;":[156],"0.1%":[157],"DBpedia)":[159],"over":[160],"baseline":[161],"methods,":[162],"suggesting":[163],"statistically":[164],"advantages":[165],"two":[167],"four":[169],"evaluated":[170],"tasks.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":6}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}