{"id":"https://openalex.org/W2463048651","doi":"https://doi.org/10.18653/v1/n16-1051","title":"Intra-Topic Variability Normalization based on Linear Projection for Topic Classification","display_name":"Intra-Topic Variability Normalization based on Linear Projection for Topic Classification","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2463048651","doi":"https://doi.org/10.18653/v1/n16-1051","mag":"2463048651"},"language":"en","primary_location":{"id":"doi:10.18653/v1/n16-1051","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n16-1051","pdf_url":"https://www.aclweb.org/anthology/N16-1051.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/N16-1051.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100414574","display_name":"Quan Liu","orcid":"https://orcid.org/0000-0002-8710-1810"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Quan Liu","raw_affiliation_strings":["National Engineering Laboratory for Speech and Language Information Processing University of Science and Technology of China, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Speech and Language Information Processing University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038369085","display_name":"Wu Guo","orcid":"https://orcid.org/0000-0002-3779-7944"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Guo","raw_affiliation_strings":["National Engineering Laboratory for Speech and Language Information Processing University of Science and Technology of China, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Speech and Language Information Processing University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059767940","display_name":"Zhen-Hua Ling","orcid":"https://orcid.org/0000-0001-7853-5273"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen-Hua Ling","raw_affiliation_strings":["National Engineering Laboratory for Speech and Language Information Processing University of Science and Technology of China, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Speech and Language Information Processing University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101454723","display_name":"Hui Jiang","orcid":"https://orcid.org/0000-0003-4062-7206"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hui Jiang","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science York University, 4700 Keele Street, Toronto, Ontario, M3J 1P3, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science York University, 4700 Keele Street, Toronto, Ontario, M3J 1P3, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101816319","display_name":"Yu Hu","orcid":"https://orcid.org/0000-0002-6302-3539"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Hu","raw_affiliation_strings":["National Engineering Laboratory for Speech and Language Information Processing University of Science and Technology of China, Hefei, Anhui, China","iFLYTEK Research, Hefei, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Speech and Language Information Processing University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"iFLYTEK Research, Hefei, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100414574"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03578538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"441","last_page":"446"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9994000196456909,"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":0.9994000196456909,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.994700014591217,"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":0.9932000041007996,"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/normalization","display_name":"Normalization (sociology)","score":0.8496898412704468},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6504368782043457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6489338278770447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.618513822555542},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5003440380096436},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4939571022987366},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.47673001885414124},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.47105810046195984},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.44612637162208557},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42647507786750793},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4244266748428345},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.42381685972213745},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32439589500427246},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24802175164222717},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22110357880592346}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.8496898412704468},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6504368782043457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6489338278770447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.618513822555542},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5003440380096436},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4939571022987366},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.47673001885414124},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.47105810046195984},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.44612637162208557},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42647507786750793},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4244266748428345},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.42381685972213745},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32439589500427246},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24802175164222717},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22110357880592346},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/n16-1051","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n16-1051","pdf_url":"https://www.aclweb.org/anthology/N16-1051.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/n16-1051","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n16-1051","pdf_url":"https://www.aclweb.org/anthology/N16-1051.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3256020066","display_name":null,"funder_award_id":"WK2350000001","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6844051781","display_name":null,"funder_award_id":"00000","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8951484681","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2463048651.pdf","grobid_xml":"https://content.openalex.org/works/W2463048651.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W97072897","https://openalex.org/W609797524","https://openalex.org/W1587559447","https://openalex.org/W1610356397","https://openalex.org/W1810646324","https://openalex.org/W1841862396","https://openalex.org/W1853745982","https://openalex.org/W1880262756","https://openalex.org/W1956559956","https://openalex.org/W1978394996","https://openalex.org/W2072773380","https://openalex.org/W2076056985","https://openalex.org/W2098162425","https://openalex.org/W2100495367","https://openalex.org/W2124993430","https://openalex.org/W2129921015","https://openalex.org/W2131744502","https://openalex.org/W2147152072","https://openalex.org/W2148554390","https://openalex.org/W2150159277","https://openalex.org/W2153635508","https://openalex.org/W2160208277","https://openalex.org/W2169585179","https://openalex.org/W2169681319","https://openalex.org/W2250458816","https://openalex.org/W2325227998","https://openalex.org/W2593801484","https://openalex.org/W3022949867","https://openalex.org/W3120421331","https://openalex.org/W4231510805","https://openalex.org/W4233013678","https://openalex.org/W4293503257","https://openalex.org/W4313169793"],"related_works":["https://openalex.org/W1984421104","https://openalex.org/W2512565647","https://openalex.org/W2001772920","https://openalex.org/W2393746448","https://openalex.org/W2905418897","https://openalex.org/W2534878021","https://openalex.org/W2398887903","https://openalex.org/W1985034083","https://openalex.org/W3093470103","https://openalex.org/W1998640076"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,30,76],"variability":[4,10,26,84],"normalization":[5,85],"algorithm":[6,66,86],"to":[7],"reduce":[8],"the":[9,41,82],"between":[11],"intra-topic":[12],"documents":[13],"for":[14,34,60,69,87,94],"topic":[15,70,88],"classification.":[16],"Firstly,":[17],"an":[18],"optimization":[19,42],"problem":[20,43],"is":[21,37,54],"constructed":[22],"based":[23],"on":[24,75],"linear":[25,57],"removable":[27],"assumption.":[28],"Secondly,":[29],"new":[31],"feature":[32,52],"space":[33],"document":[35],"representation":[36],"found":[38],"by":[39],"solving":[40],"with":[44],"kernel":[45],"principle":[46],"component":[47],"analysis":[48],"(KPCA).":[49],"Finally,":[50],"effective":[51],"transformation":[53],"taken":[55],"through":[56],"projection.":[58],"As":[59],"experiments,":[61],"state-of-the-art":[62],"SVM":[63],"and":[64],"KNN":[65],"are":[67],"adopted":[68],"classification":[71,89],"respectively.":[72],"Experimental":[73],"results":[74],"free-style":[77],"conversational":[78],"corpus":[79],"show":[80],"that":[81],"proposed":[83],"achieves":[90],"3.8%":[91],"absolute":[92],"improvement":[93],"micro-F":[95],"1":[96],"measure.":[97]},"counts_by_year":[],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}