{"id":"https://openalex.org/W4206396565","doi":"https://doi.org/10.1145/3501409.3501582","title":"Research on Intelligent Question Answering algorithm based on machine learning","display_name":"Research on Intelligent Question Answering algorithm based on machine learning","publication_year":2021,"publication_date":"2021-10-22","ids":{"openalex":"https://openalex.org/W4206396565","doi":"https://doi.org/10.1145/3501409.3501582"},"language":"en","primary_location":{"id":"doi:10.1145/3501409.3501582","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3501409.3501582","pdf_url":null,"source":{"id":"https://openalex.org/S4363608789","display_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101926390","display_name":"Lei Sun","orcid":"https://orcid.org/0000-0001-7680-6455"},"institutions":[{"id":"https://openalex.org/I166846921","display_name":"Liaoning Shihua University","ror":"https://ror.org/00k6c4h29","country_code":"CN","type":"education","lineage":["https://openalex.org/I166846921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Sun","raw_affiliation_strings":["Liaoning Petrochemical University, Fushun Wanghua China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Liaoning Petrochemical University, Fushun Wanghua China","institution_ids":["https://openalex.org/I166846921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102333357","display_name":"Xiwei Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I166846921","display_name":"Liaoning Shihua University","ror":"https://ror.org/00k6c4h29","country_code":"CN","type":"education","lineage":["https://openalex.org/I166846921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiwei Feng","raw_affiliation_strings":["Liaoning Petrochemical University, Fushun Wanghua China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Liaoning Petrochemical University, Fushun Wanghua China","institution_ids":["https://openalex.org/I166846921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033614768","display_name":"Pengcheng Hua","orcid":null},"institutions":[{"id":"https://openalex.org/I166846921","display_name":"Liaoning Shihua University","ror":"https://ror.org/00k6c4h29","country_code":"CN","type":"education","lineage":["https://openalex.org/I166846921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengcheng Hua","raw_affiliation_strings":["Liaoning Petrochemical University, Fushun Wanghua China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Liaoning Petrochemical University, Fushun Wanghua China","institution_ids":["https://openalex.org/I166846921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035249804","display_name":"Chi Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I166846921","display_name":"Liaoning Shihua University","ror":"https://ror.org/00k6c4h29","country_code":"CN","type":"education","lineage":["https://openalex.org/I166846921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chi Zhao","raw_affiliation_strings":["Liaoning Petrochemical University, Fushun Wanghua China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Liaoning Petrochemical University, Fushun Wanghua China","institution_ids":["https://openalex.org/I166846921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101492117","display_name":"Chaoqi Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I166846921","display_name":"Liaoning Shihua University","ror":"https://ror.org/00k6c4h29","country_code":"CN","type":"education","lineage":["https://openalex.org/I166846921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoqi Wang","raw_affiliation_strings":["Liaoning Petrochemical University, Fushun Wanghua China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Liaoning Petrochemical University, Fushun Wanghua China","institution_ids":["https://openalex.org/I166846921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103503219","display_name":"Wei Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I166846921","display_name":"Liaoning Shihua University","ror":"https://ror.org/00k6c4h29","country_code":"CN","type":"education","lineage":["https://openalex.org/I166846921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Hou","raw_affiliation_strings":["Liaoning Petrochemical University, Fushun Wanghua China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Liaoning Petrochemical University, Fushun Wanghua China","institution_ids":["https://openalex.org/I166846921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I166846921"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"963","last_page":"966"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12260","display_name":"Educational Technology and Pedagogy","score":0.5806999802589417,"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/T12260","display_name":"Educational Technology and Pedagogy","score":0.5806999802589417,"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/question-answering","display_name":"Question answering","score":0.858036994934082},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.75459885597229},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7310458421707153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6704409718513489},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6555910110473633},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6500482559204102},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.632254421710968},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6257771849632263},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5673688054084778},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46643495559692383},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4463287889957428},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.43434765934944153},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41147366166114807},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3342636227607727},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11970102787017822}],"concepts":[{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.858036994934082},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.75459885597229},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7310458421707153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6704409718513489},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6555910110473633},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6500482559204102},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.632254421710968},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6257771849632263},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5673688054084778},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46643495559692383},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4463287889957428},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.43434765934944153},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41147366166114807},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3342636227607727},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11970102787017822},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3501409.3501582","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3501409.3501582","pdf_url":null,"source":{"id":"https://openalex.org/S4363608789","display_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8799999952316284,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2384605597","https://openalex.org/W2387743295","https://openalex.org/W2115758952","https://openalex.org/W3082787378","https://openalex.org/W2136007095","https://openalex.org/W2366230879","https://openalex.org/W3208425359","https://openalex.org/W2349927912","https://openalex.org/W3159777597","https://openalex.org/W4212839359"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,7,57,63,67,72,88,92,97,106,113,116,124,131,135,143,146],"student":[3],"consultation":[4],"faced":[5],"by":[6],"enrollment":[8,24],"of":[9,66,118,145],"experimental":[10,38],"classes,":[11],"a":[12,35,42,77,119],"small":[13,120],"sampleQuestion":[14],"Answering":[15,59,137,148],"System":[16,138,149],"was":[17],"constructed,":[18],"which":[19,141],"can":[20],"help":[21],"students":[22],"obtain":[23],"status":[25],"in":[26,112,134,150],"time.":[27],"First,":[28],"I":[29],"collected":[30],"information":[31],"and":[32,37,40,51,104],"data":[33],"about":[34],"university":[36],"class,":[39],"designed":[41],"text":[43],"similarity":[44,95,99,108,128],"matching":[45],"algorithm":[46,83],"that":[47],"combines":[48],"word":[49,64],"vectors":[50,65],"corpus":[52,73],"tags":[53],"to":[54,56,86],"apply":[55],"Question":[58,136,147],"System.":[60],"Based":[61],"on":[62],"neural":[68],"network":[69],"training":[70],"corpus,":[71],"is":[74,84,101,110,139],"grouped":[75],"using":[76],"clustering":[78],"algorithm.":[79],"The":[80],"keyword":[81],"extraction":[82],"used":[85],"extract":[87],"group":[89],"tags.":[90],"In":[91,115],"question":[93],"sentence":[94,107,126],"calculation,":[96],"category":[98],"calculation":[100,109,129],"first":[102],"performed,":[103],"then":[105],"performed":[111],"category.":[114],"case":[117],"sample,":[121],"compared":[122],"with":[123],"traditional":[125],"vector":[127],"method,":[130],"accuracy":[132],"rate":[133],"64%,":[140],"meets":[142],"requirements":[144],"this":[151],"field.":[152]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}