{"id":"https://openalex.org/W2005068928","doi":"https://doi.org/10.1109/icnsc.2008.4525492","title":"Self-revise Hierarchical Classifier Based on SMO Algorithm for Chinese Question Classification","display_name":"Self-revise Hierarchical Classifier Based on SMO Algorithm for Chinese Question Classification","publication_year":2008,"publication_date":"2008-04-01","ids":{"openalex":"https://openalex.org/W2005068928","doi":"https://doi.org/10.1109/icnsc.2008.4525492","mag":"2005068928"},"language":"en","primary_location":{"id":"doi:10.1109/icnsc.2008.4525492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc.2008.4525492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Networking, Sensing and Control","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/A5008601440","display_name":"Bingjing Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingjing Xu","raw_affiliation_strings":["Center for Intelligence Science and Technology Research, Beijing University of Posts and Telecommunications, Beijing, China","Beijing Univ. of Posts and Telecommun., Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Intelligence Science and Technology Research, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing Univ. of Posts and Telecommun., Beijing","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049361267","display_name":"Yu Deng","orcid":"https://orcid.org/0000-0002-1909-7223"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Deng","raw_affiliation_strings":["Center for Intelligence Science and Technology Research, Beijing University of Posts and Telecommunications, Beijing, China","Beijing Univ. of Posts and Telecommun., Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Intelligence Science and Technology Research, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing Univ. of Posts and Telecommun., Beijing","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100738078","display_name":"Jianyi Liu","orcid":"https://orcid.org/0000-0003-3133-4452"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianyi Liu","raw_affiliation_strings":["Center for Intelligence Science and Technology Research, Beijing University of Posts and Telecommunications, Beijing, China","Beijing Univ. of Posts and Telecommun., Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Intelligence Science and Technology Research, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing Univ. of Posts and Telecommun., Beijing","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"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":"10","issue":null,"first_page":"1683","last_page":"1687"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9980999827384949,"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":0.9980999827384949,"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/T14025","display_name":"Educational Technology and Assessment","score":0.9241999983787537,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/classifier","display_name":"Classifier (UML)","score":0.7808298468589783},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6957167387008667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5540074706077576},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49592384696006775},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45905670523643494},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3686223030090332}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7808298468589783},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6957167387008667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5540074706077576},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49592384696006775},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45905670523643494},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3686223030090332}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnsc.2008.4525492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc.2008.4525492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Networking, Sensing and Control","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1485852130","https://openalex.org/W1540916400","https://openalex.org/W1992130648","https://openalex.org/W2070246124","https://openalex.org/W2086004682","https://openalex.org/W2086511124","https://openalex.org/W2381535250","https://openalex.org/W2544197375","https://openalex.org/W6605815150","https://openalex.org/W6672077861","https://openalex.org/W6728889561"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W2033914206","https://openalex.org/W4283697347"],"abstract_inverted_index":{"For":[0],"hierarchical":[1,38],"classifier,":[2],"a":[3,9,28,35,58],"mainstream":[4],"approach":[5],"for":[6,72,83],"question":[7,61,74,91],"classification,":[8],"fatal":[10],"pitfall":[11],"exists":[12],"that":[13,21],"the":[14,68,78,100,103],"accuracy":[15],"of":[16,22,49,60],"fine":[17,79,86],"categories":[18,24],"relies":[19],"on":[20,27,41,88],"coarse":[23,70,84],"and":[25,75,85,95],"stays":[26],"limited":[29],"level":[30],"accordingly.":[31],"This":[32],"paper":[33],"proposes":[34],"novel":[36],"self-revise":[37],"classifier":[39,59],"based":[40],"sequential":[42],"minimal":[43],"optimization":[44],"(SMO)":[45],"algorithm.":[46],"The":[47,81],"information":[48],"scores":[50],"calculated":[51],"by":[52],"SMO":[53],"is":[54],"utilized":[55],"to":[56,66],"make":[57],"category":[62],"decision,":[63],"which":[64,98],"helps":[65],"correct":[67],"misjudged":[69],"label":[71],"each":[73],"eventually":[76],"revise":[77],"label.":[80],"precision":[82],"classes":[87],"HIT-IR":[89],"Chinese":[90],"dataset":[92],"are":[93],"88.54%":[94],"72.46%":[96],"respectively,":[97],"reaches":[99],"peak":[101],"in":[102],"current":[104],"research.":[105]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}