{"id":"https://openalex.org/W4381744185","doi":"https://doi.org/10.1109/cscwd57460.2023.10152784","title":"Spa-L Transformer: Sparse-self attention model of Long short-term memory positional encoding based on long text classification","display_name":"Spa-L Transformer: Sparse-self attention model of Long short-term memory positional encoding based on long text classification","publication_year":2023,"publication_date":"2023-05-24","ids":{"openalex":"https://openalex.org/W4381744185","doi":"https://doi.org/10.1109/cscwd57460.2023.10152784"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd57460.2023.10152784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd57460.2023.10152784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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":"https://openalex.org/A5011414455","display_name":"Shengzhe Zhang","orcid":"https://orcid.org/0000-0001-7031-4222"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shengzhe Zhang","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Jinan,China","Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]},{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101621183","display_name":"Jiayu Ye","orcid":"https://orcid.org/0000-0003-0368-9651"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayu Ye","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Jinan,China","Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]},{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101413909","display_name":"Qingxiang Wang","orcid":"https://orcid.org/0000-0002-8159-7739"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingxiang Wang","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Jinan,China","Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]},{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011414455"],"corresponding_institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"],"apc_list":null,"apc_paid":null,"fwci":0.6993,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7480315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"618","last_page":"623"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9664999842643738,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9664999842643738,"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":0.9491000175476074,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9329000115394592,"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":0.7682317495346069},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.7309109568595886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5324901938438416},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.43883123993873596},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4282177686691284},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3489007353782654},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07874980568885803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7682317495346069},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.7309109568595886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5324901938438416},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43883123993873596},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4282177686691284},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3489007353782654},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07874980568885803},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd57460.2023.10152784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd57460.2023.10152784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.800000011920929}],"awards":[],"funders":[{"id":"https://openalex.org/F4320328720","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"The":[0],"emergence":[1],"of":[2,13,29,41,59,65,164],"Transformer":[3,18,35,46,79],"and":[4,102,111],"its":[5],"derivative":[6],"models":[7],"brings":[8],"new":[9,76],"opportunities":[10],"to":[11,108,131,145,150],"tasks":[12],"NLP":[14],"(Natural":[15],"Language":[16],"Processing).":[17],"is":[19,47],"not":[20,48],"only":[21,112],"a":[22,75],"separate":[23],"model,":[24],"but":[25],"also":[26],"the":[27,56,63,86,115,121,128,133,137,152,162],"core":[28],"different":[30],"text":[31,70,83,156],"task":[32],"systems.":[33],"Therefore,":[34],"has":[36],"become":[37],"an":[38],"important":[39,96,123],"component":[40],"many":[42],"powerful":[43],"models.":[44],"However,":[45],"without":[49],"defects.":[50],"Researchers":[51],"are":[52],"still":[53],"puzzled":[54],"by":[55,170],"huge":[57],"amount":[58],"computation":[60],"generated":[61],"in":[62,68],"process":[64],"self-attention.":[66],"Especially":[67],"long":[69,155],"data":[71],"sets.":[72],"We":[73,94],"propose":[74,141],"ProbSparse":[77],"self-attention":[78],"model":[80,160],"based":[81,126],"for":[82],"classification.":[84],"In":[85,154],"following,":[87],"we":[88,119,140],"will":[89],"call":[90],"it":[91],"SpaL":[92],"Transformer.":[93,165],"query":[95],"attention":[97,125],"factors":[98],"through":[99],"KL":[100],"divergence":[101],"add":[103],"Long":[104],"Short":[105],"Term":[106],"Memory(LSTM)":[107],"positional":[109],"encoding,":[110],"focus":[113,132],"on":[114,127],"main":[116],"query.":[117],"Then,":[118],"select":[120],"most":[122],"relevant":[124],"confidence":[129],"score":[130,168],"overall":[134],"attention.":[135],"At":[136],"same":[138],"time,":[139],"LSTM":[142],"positive":[143],"encoding":[144],"obtain":[146],"relative":[147],"position":[148],"information":[149],"optimize":[151],"model.":[153],"dataset":[157],"IMDB,":[158],"our":[159],"improves":[161],"accuracy":[163],"And":[166],"F1":[167],"improved":[169],"0.064.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
