{"id":"https://openalex.org/W4401327800","doi":"https://doi.org/10.1109/access.2024.3438848","title":"Efficient Agricultural Question Classification With a BERT-Enhanced DPCNN Model","display_name":"Efficient Agricultural Question Classification With a BERT-Enhanced DPCNN Model","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401327800","doi":"https://doi.org/10.1109/access.2024.3438848"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3438848","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3438848","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":null,"license_id":null,"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.2024.3438848","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101042326","display_name":"Xiaojuan Guo","orcid":"https://orcid.org/0009-0007-9988-190X"},"institutions":[{"id":"https://openalex.org/I4210163247","display_name":"Henan Institute of Science and Technology","ror":"https://ror.org/0578f1k82","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163247"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojuan Guo","raw_affiliation_strings":["School of Computer Science and Technology, Henan Institute of Science and Technology, Xinxiang, China"],"raw_orcid":"https://orcid.org/0009-0007-9988-190X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Henan Institute of Science and Technology, Xinxiang, China","institution_ids":["https://openalex.org/I4210163247"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356289","display_name":"Jianping Wang","orcid":"https://orcid.org/0000-0002-8159-1054"},"institutions":[{"id":"https://openalex.org/I4210163247","display_name":"Henan Institute of Science and Technology","ror":"https://ror.org/0578f1k82","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163247"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Wang","raw_affiliation_strings":["School of Computer Science and Technology, Henan Institute of Science and Technology, Xinxiang, China"],"raw_orcid":"https://orcid.org/0000-0002-8159-1054","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Henan Institute of Science and Technology, Xinxiang, China","institution_ids":["https://openalex.org/I4210163247"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111509825","display_name":"Guohong Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163247","display_name":"Henan Institute of Science and Technology","ror":"https://ror.org/0578f1k82","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163247"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guohong Gao","raw_affiliation_strings":["School of Computer Science and Technology, Henan Institute of Science and Technology, Xinxiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Henan Institute of Science and Technology, Xinxiang, China","institution_ids":["https://openalex.org/I4210163247"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100674362","display_name":"Junming Zhou","orcid":"https://orcid.org/0000-0001-6660-4622"},"institutions":[{"id":"https://openalex.org/I4210163247","display_name":"Henan Institute of Science and Technology","ror":"https://ror.org/0578f1k82","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163247"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junming Zhou","raw_affiliation_strings":["School of Information Engineering, Henan Institute of Science and Technology, Xinxiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Henan Institute of Science and Technology, Xinxiang, China","institution_ids":["https://openalex.org/I4210163247"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049188718","display_name":"Yancui Li","orcid":"https://orcid.org/0000-0002-2823-2802"},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yancui Li","raw_affiliation_strings":["College of Computer and Information Engineering, Henan Normal University, Xinxiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Henan Normal University, Xinxiang, China","institution_ids":["https://openalex.org/I75955062"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029639067","display_name":"Zihao Cheng","orcid":"https://orcid.org/0009-0007-4729-3540"},"institutions":[{"id":"https://openalex.org/I4210163247","display_name":"Henan Institute of Science and Technology","ror":"https://ror.org/0578f1k82","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163247"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao Cheng","raw_affiliation_strings":["School of Computer Science and Technology, Henan Institute of Science and Technology, Xinxiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Henan Institute of Science and Technology, Xinxiang, China","institution_ids":["https://openalex.org/I4210163247"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007015854","display_name":"Guoyi Miao","orcid":null},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoyi Miao","raw_affiliation_strings":["College of Computer and Information Engineering, Henan Normal University, Xinxiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Henan Normal University, Xinxiang, China","institution_ids":["https://openalex.org/I75955062"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.3342,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.93083081,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"109255","last_page":"109268"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9904999732971191,"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":0.9904999732971191,"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":0.9825000166893005,"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":0.9452000260353088,"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":0.801481306552887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6544851064682007},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5424306392669678},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.47307997941970825},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4521805942058563},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43500572443008423},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42786848545074463},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41227108240127563},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34952646493911743}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.801481306552887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6544851064682007},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5424306392669678},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.47307997941970825},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4521805942058563},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43500572443008423},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42786848545074463},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41227108240127563},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34952646493911743},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3438848","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3438848","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e6fb16c5f223434396126edd280e96b4","is_oa":true,"landing_page_url":"https://doaj.org/article/e6fb16c5f223434396126edd280e96b4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 109255-109268 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3438848","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3438848","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W2064675550","https://openalex.org/W2191741682","https://openalex.org/W2277583061","https://openalex.org/W2516328000","https://openalex.org/W2563351168","https://openalex.org/W2740721704","https://openalex.org/W2896457183","https://openalex.org/W2911262774","https://openalex.org/W2921212324","https://openalex.org/W2942840223","https://openalex.org/W2963809228","https://openalex.org/W2971031201","https://openalex.org/W2977540023","https://openalex.org/W3012514215","https://openalex.org/W3014812975","https://openalex.org/W3027902656","https://openalex.org/W3109121317","https://openalex.org/W3153998777","https://openalex.org/W3174492648","https://openalex.org/W3175301415","https://openalex.org/W3176578627","https://openalex.org/W3189725905","https://openalex.org/W3192849410","https://openalex.org/W3198139142","https://openalex.org/W3206725954","https://openalex.org/W4226112897","https://openalex.org/W4281707272","https://openalex.org/W4297061672","https://openalex.org/W4298007906","https://openalex.org/W4312795772","https://openalex.org/W4312913480","https://openalex.org/W4313555397","https://openalex.org/W4322502529","https://openalex.org/W4323049144","https://openalex.org/W4385245566","https://openalex.org/W4385308436","https://openalex.org/W4392084956","https://openalex.org/W4392812779","https://openalex.org/W6731031554","https://openalex.org/W6755207826"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2375873920","https://openalex.org/W2384362569","https://openalex.org/W2146114872","https://openalex.org/W2142795561","https://openalex.org/W2392060890","https://openalex.org/W4205302943","https://openalex.org/W4281476908"],"abstract_inverted_index":{"The":[0,17],"application":[1],"of":[2,20,26,43,76,128,144,158,181],"big":[3],"data":[4,28],"technology":[5],"in":[6,14,34,202,219],"agricultural":[7,15,21,44,77,165,207,220],"production":[8],"has":[9,66],"led":[10],"to":[11,40,139,211],"explosive":[12],"growth":[13],"data.":[16],"accurate":[18],"classification":[19,36,65,85,175,204,218],"questions":[22],"from":[23,94],"vast":[24],"amounts":[25],"question-and-answer":[27],"is":[29],"currently":[30],"a":[31,58,163],"prominent":[32],"topic":[33],"text":[35,84,147],"research.":[37],"However,":[38],"due":[39],"the":[41,74,82,90,99,107,131,145,156,193],"characteristics":[42],"questions,":[45],"such":[46],"as":[47],"short":[48],"text,":[49],"high":[50],"specialization,":[51],"and":[52,64,72,118,148],"uneven":[53],"sample":[54],"distribution,":[55],"relying":[56],"on":[57,192,206],"single":[59],"model":[60,86,97,110,161],"for":[61,115,216],"feature":[62],"extraction":[63],"limitations.":[67],"To":[68,183],"address":[69],"this":[70],"issue":[71],"improve":[73],"performance":[75,205],"question":[78,117,166,208,217],"classification,":[79],"we":[80,154,188],"propose":[81],"fusion":[83,160],"BERT-DPCNN,":[87],"which":[88],"combines":[89],"Bidirectional":[91],"Encoder":[92],"Representations":[93],"Transformer":[95],"(BERT)":[96],"with":[98,177],"Deep":[100],"Pyramid":[101],"Convolution":[102],"Neural":[103],"Network":[104],"(DPCNN).":[105],"Firstly,":[106],"BERT":[108],"pre-training":[109],"captures":[111],"word-level":[112,146],"semantic":[113],"information":[114],"each":[116],"generates":[119],"hidden":[120],"vectors":[121,134],"containing":[122],"sentence-level":[123],"features":[124,143],"using":[125,162],"12":[126],"layers":[127],"transformers.":[129],"Secondly,":[130],"output":[132],"word":[133],"are":[135],"input":[136],"into":[137],"DPCNN":[138],"further":[140],"extract":[141],"local":[142],"capture":[149],"long-distance":[150],"textual":[151],"dependencies.":[152],"Finally,":[153],"verified":[155],"effectiveness":[157],"our":[159],"self-constructed":[164],"dataset.":[167,196],"Comparative":[168],"experiments":[169,191],"demonstrate":[170],"that":[171],"BERT-DPCNN":[172],"achieves":[173],"superior":[174],"results":[176,198],"an":[178],"accuracy":[179],"rate":[180],"99.07%.":[182],"assess":[184],"its":[185],"generalization":[186],"performance,":[187],"conducted":[189],"comparison":[190],"Tsinghua":[194],"News":[195],"Experimental":[197],"show":[199],"significant":[200],"improvement":[201],"BERT-DPCNN\u2019s":[203],"datasets":[209],"compared":[210],"other":[212],"models,":[213],"meeting":[214],"requirements":[215],"question-answering":[221],"systems.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
