{"id":"https://openalex.org/W2883781508","doi":"https://doi.org/10.1109/taslp.2018.2852502","title":"Spatial Pyramid Pooling Mechanism in 3D Convolutional Network for Sentence-Level Classification","display_name":"Spatial Pyramid Pooling Mechanism in 3D Convolutional Network for Sentence-Level Classification","publication_year":2018,"publication_date":"2018-07-19","ids":{"openalex":"https://openalex.org/W2883781508","doi":"https://doi.org/10.1109/taslp.2018.2852502","mag":"2883781508"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2018.2852502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2018.2852502","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-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/A5040769857","display_name":"Xi Ouyang","orcid":"https://orcid.org/0000-0002-7841-5359"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xi Ouyang","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054023418","display_name":"Kang Gu","orcid":"https://orcid.org/0000-0001-8541-6205"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Gu","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100693198","display_name":"Pan Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Zhou","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040769857"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":2.3693,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.91279992,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"26","issue":"11","first_page":"2167","last_page":"2179"},"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":0.9998999834060669,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8780221939086914},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7435548305511475},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6992648243904114},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6659348011016846},{"id":"https://openalex.org/keywords/treebank","display_name":"Treebank","score":0.6353508234024048},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6250508427619934},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6156833171844482},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5490165948867798},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5038718581199646},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4783869981765747},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4573603868484497},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.1378115713596344}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8780221939086914},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7435548305511475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6992648243904114},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6659348011016846},{"id":"https://openalex.org/C206134035","wikidata":"https://www.wikidata.org/wiki/Q811525","display_name":"Treebank","level":3,"score":0.6353508234024048},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6250508427619934},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6156833171844482},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5490165948867798},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5038718581199646},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4783869981765747},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4573603868484497},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.1378115713596344},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2018.2852502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2018.2852502","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G1427757127","display_name":null,"funder_award_id":"61428104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1939269163","display_name":null,"funder_award_id":"61325004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3739101637","display_name":null,"funder_award_id":"61401169","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8616498718","display_name":null,"funder_award_id":"61531011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":91,"referenced_works":["https://openalex.org/W1498740961","https://openalex.org/W1576954243","https://openalex.org/W1686810756","https://openalex.org/W1832693441","https://openalex.org/W1879966306","https://openalex.org/W1887754209","https://openalex.org/W1889268436","https://openalex.org/W1983364832","https://openalex.org/W1987425720","https://openalex.org/W2024421142","https://openalex.org/W2028140375","https://openalex.org/W2030408698","https://openalex.org/W2084046180","https://openalex.org/W2099779943","https://openalex.org/W2109255472","https://openalex.org/W2114524997","https://openalex.org/W2117130368","https://openalex.org/W2118463056","https://openalex.org/W2120615054","https://openalex.org/W2127357421","https://openalex.org/W2130942839","https://openalex.org/W2131462252","https://openalex.org/W2133564696","https://openalex.org/W2138627627","https://openalex.org/W2147489358","https://openalex.org/W2148717074","https://openalex.org/W2152184085","https://openalex.org/W2153579005","https://openalex.org/W2154124206","https://openalex.org/W2154359981","https://openalex.org/W2155328222","https://openalex.org/W2155454737","https://openalex.org/W2156233801","https://openalex.org/W2163362093","https://openalex.org/W2166706824","https://openalex.org/W2170240176","https://openalex.org/W2170738476","https://openalex.org/W2173361515","https://openalex.org/W2179352600","https://openalex.org/W2181042685","https://openalex.org/W2236688737","https://openalex.org/W2250521169","https://openalex.org/W2250966211","https://openalex.org/W2251939518","https://openalex.org/W2254361154","https://openalex.org/W2264105282","https://openalex.org/W2275025625","https://openalex.org/W2295106261","https://openalex.org/W2470673105","https://openalex.org/W2513378248","https://openalex.org/W2517194566","https://openalex.org/W2556888587","https://openalex.org/W2559645321","https://openalex.org/W2741805585","https://openalex.org/W2767415038","https://openalex.org/W2950141408","https://openalex.org/W2951359136","https://openalex.org/W2962958286","https://openalex.org/W2963012544","https://openalex.org/W2963355447","https://openalex.org/W2963908579","https://openalex.org/W2964182988","https://openalex.org/W2964308564","https://openalex.org/W2964331270","https://openalex.org/W3146306708","https://openalex.org/W4294170691","https://openalex.org/W6629821017","https://openalex.org/W6634360984","https://openalex.org/W6637373629","https://openalex.org/W6639301165","https://openalex.org/W6639364127","https://openalex.org/W6639620173","https://openalex.org/W6676338569","https://openalex.org/W6678150014","https://openalex.org/W6679224782","https://openalex.org/W6679270726","https://openalex.org/W6679434410","https://openalex.org/W6679436768","https://openalex.org/W6682005813","https://openalex.org/W6682691769","https://openalex.org/W6682839988","https://openalex.org/W6683237652","https://openalex.org/W6684310905","https://openalex.org/W6685053522","https://openalex.org/W6685160515","https://openalex.org/W6685536428","https://openalex.org/W6689876912","https://openalex.org/W6691459498","https://openalex.org/W6691661685","https://openalex.org/W6691723933","https://openalex.org/W6729752019"],"related_works":["https://openalex.org/W3142119062","https://openalex.org/W2740662036","https://openalex.org/W2022849497","https://openalex.org/W3081299480","https://openalex.org/W2407190427","https://openalex.org/W2919210741","https://openalex.org/W2907584218","https://openalex.org/W3002446410","https://openalex.org/W4390224712","https://openalex.org/W4322096758"],"abstract_inverted_index":{"In":[0,28],"this":[1,26,132],"paper,":[2],"we":[3,30],"investigate":[4],"the":[5,8,37,52,74,82,92,123,139,143,157,204],"usage":[6],"of":[7,71,94,159,207],"convolutional":[9],"neural":[10],"network":[11],"(CNN)":[12],"to":[13,21,104,109,188,193,197],"propose":[14,31],"a":[15,32,110],"novel":[16],"end-to-end":[17],"language":[18,65],"processing":[19,66],"structure":[20,35,60,125],"model":[22],"textual":[23],"data":[24],"for":[25,36,126,149,156],"task.":[27],"particular,":[29],"3D":[33,56],"CNN":[34],"task,":[38],"which":[39,113,141],"is":[40,51,98],"featured":[41],"by":[42,101,122],"spatial":[43],"pyramid":[44],"pooling":[45,151],"(SPP).":[46],"To":[47],"our":[48,178,195],"knowledge,":[49],"it":[50],"first":[53],"time":[54],"that":[55,177],"convolution":[57],"and":[58,79,118,173],"SPP":[59,124],"are":[61,154],"applied":[62],"together":[63],"in":[64,86,89,129],"issues.":[67],"Compared":[68],"with":[69,138,186],"methods":[70],"2D":[72],"CNNs,":[73],"proposed":[75,179],"method":[76,180,196],"can":[77,134,181],"effectively":[78],"efficiently":[80],"capture":[81],"complicated":[83],"internal":[84],"relations":[85],"sentences.":[87],"Furthermore,":[88],"previous":[90],"work,":[91],"issue":[93,133],"sentence":[95,160],"length":[96,147],"variety":[97],"usually":[99],"addressed":[100],"padding":[102],"zero":[103],"make":[105],"all":[106],"sentences":[107,144],"vectors":[108],"fixed":[111],"length,":[112],"causes":[114],"too":[115],"much":[116],"redundant":[117],"useless":[119],"noise.":[120],"Inspired":[121],"object":[127],"detection":[128],"image":[130],"processing,":[131],"be":[135],"well":[136,163],"handled":[137],"SPP,":[140],"divides":[142],"into":[145],"several":[146],"sections":[148],"respective":[150],"processing.":[152],"Experiments":[153,167],"conducted":[155],"task":[158],"classification":[161,189],"as":[162,164],"relation":[165],"classification.":[166],"on":[168],"Stanford":[169],"Treebank,":[170],"TREC,":[171],"subj,":[172],"Yelp":[174],"datasets":[175],"demonstrate":[176],"outperform":[182],"other":[183],"state-of-the-art":[184],"models,":[185],"respect":[187],"accuracy.":[190],"Auxiliary":[191],"attempts":[192],"leverage":[194],"SemEval-2010":[198],"Task":[199],"8":[200],"dataset":[201],"further":[202],"substantiate":[203],"model's":[205],"capability":[206],"extracting":[208],"features":[209],"efficiently.":[210]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}