{"id":"https://openalex.org/W2140241999","doi":"https://doi.org/10.1109/skg.2009.59","title":"Chinese Text Classification Using Key Characters String Kernel","display_name":"Chinese Text Classification Using Key Characters String Kernel","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2140241999","doi":"https://doi.org/10.1109/skg.2009.59","mag":"2140241999"},"language":"en","primary_location":{"id":"doi:10.1109/skg.2009.59","doi":"https://doi.org/10.1109/skg.2009.59","is_oa":false,"landing_page_url":"https://doi.org/10.1109/skg.2009.59","pdf_url":null,"source":{"id":"https://openalex.org/S4363608334","display_name":"International Conference on Semantics, Knowledge and Grid (SKG)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2009 Fifth International Conference on Semantics, Knowledge and Grid","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5101774780","display_name":"Shiqiang Zheng","orcid":"https://orcid.org/0000-0001-5639-5433","observed_orcids":["https://orcid.org/0000-0001-5639-5433"]},"institutions":[{"id":"https://openalex.org/I4405263052","display_name":"Tsinghua Shenzhen International Graduate School","ror":"https://ror.org/01vceef04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405263052","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiqiang Zheng","raw_affiliation_strings":["Graduate School at Shenzhen, Tsinghua University, Shenzhen, China","[Grad. Sch. at Shenzhen, Tsinghua Univ., Shenzhen, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School at Shenzhen, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4405263052","https://openalex.org/I99065089"]},{"raw_affiliation_string":"[Grad. Sch. at Shenzhen, Tsinghua Univ., Shenzhen, China]","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020953714","display_name":"Yujiu Yang","orcid":"https://orcid.org/0000-0002-6427-1024","observed_orcids":["https://orcid.org/0000-0002-6427-1024"]},"institutions":[{"id":"https://openalex.org/I4405263052","display_name":"Tsinghua Shenzhen International Graduate School","ror":"https://ror.org/01vceef04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405263052","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujiu Yang","raw_affiliation_strings":["Graduate School at Shenzhen, Tsinghua University, Shenzhen, China","[Grad. Sch. at Shenzhen, Tsinghua Univ., Shenzhen, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School at Shenzhen, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4405263052","https://openalex.org/I99065089"]},{"raw_affiliation_string":"[Grad. Sch. at Shenzhen, Tsinghua Univ., Shenzhen, China]","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002997318","display_name":"Haiping Wu","orcid":"https://orcid.org/0000-0003-1904-652X","observed_orcids":["https://orcid.org/0000-0003-1904-652X"]},"institutions":[{"id":"https://openalex.org/I4405263052","display_name":"Tsinghua Shenzhen International Graduate School","ror":"https://ror.org/01vceef04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405263052","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiping Wu","raw_affiliation_strings":["Graduate School at Shenzhen, Tsinghua University, Shenzhen, China","[Grad. Sch. at Shenzhen, Tsinghua Univ., Shenzhen, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School at Shenzhen, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4405263052","https://openalex.org/I99065089"]},{"raw_affiliation_string":"[Grad. Sch. at Shenzhen, Tsinghua Univ., Shenzhen, China]","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086445653","display_name":"Wenhuang Liu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405263052","display_name":"Tsinghua Shenzhen International Graduate School","ror":"https://ror.org/01vceef04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405263052","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhuang Liu","raw_affiliation_strings":["Graduate School at Shenzhen, Tsinghua University, Shenzhen, China","[Grad. Sch. at Shenzhen, Tsinghua Univ., Shenzhen, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School at Shenzhen, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4405263052","https://openalex.org/I99065089"]},{"raw_affiliation_string":"[Grad. Sch. at Shenzhen, Tsinghua Univ., Shenzhen, China]","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2494,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.36486666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":93},"biblio":{"volume":"3","issue":null,"first_page":"113","last_page":"119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9994999766349792,"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":0.9994999766349792,"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":9.999999747378752e-05,"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":9.999999747378752e-05,"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/chinese-text-classification","display_name":"Chinese text classification","score":1.0},{"id":"https://openalex.org/keywords/string-kernels","display_name":"string kernels","score":0.8360000252723694},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.6299999952316284},{"id":"https://openalex.org/keywords/limited-training-data","display_name":"limited training data","score":0.7020000219345093},{"id":"https://openalex.org/keywords/chinese-word-segmentation","display_name":"Chinese word segmentation","score":0.7590000033378601},{"id":"https://openalex.org/keywords/feature-space-dimensionality","display_name":"feature space dimensionality","score":0.6880000233650208}],"concepts":[{"id":"https://openalex.org/C55851704","wikidata":"https://www.wikidata.org/wiki/Q7623983","display_name":"String kernel","level":5,"score":0.8925366997718811},{"id":"https://openalex.org/C182407805","wikidata":"https://www.wikidata.org/wiki/Q2626534","display_name":"Substring","level":3,"score":0.7744449377059937},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7237764596939087},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6430799961090088},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.619273841381073},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.6175646781921387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5918216109275818},{"id":"https://openalex.org/C140417398","wikidata":"https://www.wikidata.org/wiki/Q16933942","display_name":"Tree kernel","level":5,"score":0.5338576436042786},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4644007980823517},{"id":"https://openalex.org/C22820288","wikidata":"https://www.wikidata.org/wiki/Q9050568","display_name":"String metric","level":4,"score":0.4615030884742737},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4183984398841858},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4137706756591797},{"id":"https://openalex.org/C7757238","wikidata":"https://www.wikidata.org/wiki/Q374040","display_name":"String searching algorithm","level":3,"score":0.4134679138660431},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.37987205386161804},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3759666681289673},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.36841946840286255},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.3682677149772644},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21879258751869202},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.10026532411575317},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.05365782976150513},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/skg.2009.59","doi":"https://doi.org/10.1109/skg.2009.59","is_oa":false,"landing_page_url":"https://doi.org/10.1109/skg.2009.59","pdf_url":null,"source":{"id":"https://openalex.org/S4363608334","display_name":"International Conference on Semantics, Knowledge and Grid (SKG)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2009 Fifth International Conference on Semantics, Knowledge and Grid","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W171478201","https://openalex.org/W1552170606","https://openalex.org/W1756033901","https://openalex.org/W1994966918","https://openalex.org/W2020816856","https://openalex.org/W2030646297","https://openalex.org/W2050559027","https://openalex.org/W2087347434","https://openalex.org/W2100259670","https://openalex.org/W2107425660","https://openalex.org/W2112378479","https://openalex.org/W2112591325","https://openalex.org/W2116296392","https://openalex.org/W2124225821","https://openalex.org/W2142402961","https://openalex.org/W2149776783"],"related_works":["https://openalex.org/W2112699648","https://openalex.org/W2388131575","https://openalex.org/W2891651809","https://openalex.org/W2112591325","https://openalex.org/W2765664088","https://openalex.org/W2373376290","https://openalex.org/W2913970727","https://openalex.org/W2031541932","https://openalex.org/W2282769533","https://openalex.org/W2351032149"],"abstract_inverted_index":{"Most":[0],"Chinese":[1,8,44],"text":[2,45],"classification":[3,17,46,78],"methods":[4,97],"are":[5],"based":[6],"on":[7,21,79,98,131],"word":[9],"segmentation":[10,32],"and":[11,29,127],"bag":[12],"of":[13,24,31,58,61,87,95,104],"words":[14],"(BOW).":[15],"The":[16],"performance":[18,86],"largely":[19],"relies":[20],"the":[22,56,77,85,102,111,125],"accuracy":[23],"segmentation.":[25],"Unfortunately,":[26],"perfect":[27],"precision":[28],"disambiguation":[30],"cannot":[33],"be":[34],"reached.":[35],"In":[36],"order":[37],"to":[38,93],"solve":[39],"this":[40],"problem,":[41],"a":[42,59],"novel":[43],"method":[47,74],"using":[48],"string":[49,89,121,141],"kernel":[50,54,90,122,142],"is":[51,91,107,114],"presented.":[52],"String":[53],"computes":[55],"similarity":[57],"pair":[60],"documents":[62],"by":[63],"comparing":[64],"common":[65],"substrings":[66],"they":[67],"have.":[68],"Experimental":[69],"results":[70],"show":[71,135],"that":[72,94,110,136],"our":[73],"greatly":[75],"enhances":[76],"small":[80],"training":[81],"data":[82,100,133],"sets.":[83],"Although":[84],"traditional":[88],"comparable":[92],"BOW":[96],"larger":[99,132],"set,":[101],"dimension":[103],"feature":[105],"space":[106],"so":[108],"high":[109],"calculation":[112],"process":[113],"very":[115],"time-consuming.":[116],"Our":[117],"proposed":[118],"key":[119,139],"characters":[120,140],"technique":[123],"solves":[124],"efficiency":[126],"effectiveness":[128],"problems.":[129],"Experiments":[130],"set":[134],"SVM":[137],"with":[138],"can":[143],"achieve":[144],"superior":[145],"performance.":[146]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}