{"id":"https://openalex.org/W2169319923","doi":"https://doi.org/10.1109/icdar.2015.7333742","title":"Using multiple sequence alignment and statistical language model to integrate multiple Chinese address recognition outputs","display_name":"Using multiple sequence alignment and statistical language model to integrate multiple Chinese address recognition outputs","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2169319923","doi":"https://doi.org/10.1109/icdar.2015.7333742","mag":"2169319923"},"language":"en","primary_location":{"id":"doi:10.1109/icdar.2015.7333742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2015.7333742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 13th International Conference on Document Analysis and Recognition (ICDAR)","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/A5088227875","display_name":"Sheng\u2010Chang Chen","orcid":"https://orcid.org/0000-0002-9894-5867"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengchang Chen","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084930293","display_name":"Shujing Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133610","display_name":"China Post (China)","ror":"https://ror.org/04jvr6m30","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210133610"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shujing Lu","raw_affiliation_strings":["ECNU-SRI Joint Lab for Pattern Analysis and Intelligent System, Shanghai Research Institute of China Post Group, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ECNU-SRI Joint Lab for Pattern Analysis and Intelligent System, Shanghai Research Institute of China Post Group, Shanghai, China","institution_ids":["https://openalex.org/I4210133610"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101647485","display_name":"Ying Wen","orcid":"https://orcid.org/0000-0002-6974-5110"},"institutions":[{"id":"https://openalex.org/I4210133610","display_name":"China Post (China)","ror":"https://ror.org/04jvr6m30","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210133610"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Wen","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University, Shanghai, China","ECNU-SRI Joint Lab for Pattern Analysis and Intelligent System, Shanghai Research Institute of China Post Group, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"ECNU-SRI Joint Lab for Pattern Analysis and Intelligent System, Shanghai Research Institute of China Post Group, Shanghai, China","institution_ids":["https://openalex.org/I4210133610"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031868292","display_name":"Yue Lu","orcid":"https://orcid.org/0000-0003-4062-6553"},"institutions":[{"id":"https://openalex.org/I4210133610","display_name":"China Post (China)","ror":"https://ror.org/04jvr6m30","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210133610"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Lu","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University, Shanghai, China","ECNU-SRI Joint Lab for Pattern Analysis and Intelligent System, Shanghai Research Institute of China Post Group, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"ECNU-SRI Joint Lab for Pattern Analysis and Intelligent System, Shanghai Research Institute of China Post Group, Shanghai, China","institution_ids":["https://openalex.org/I4210133610"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08560236,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"151","last_page":"155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9941999912261963,"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":0.9941999912261963,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9815000295639038,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9677000045776367,"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/computer-science","display_name":"Computer science","score":0.8028227686882019},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.7078271508216858},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.6885195374488831},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5865892171859741},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5253543257713318},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5157237648963928},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5106149315834045},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.48864585161209106},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.4217529892921448},{"id":"https://openalex.org/keywords/sequence-labeling","display_name":"Sequence labeling","score":0.4192526936531067},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.4165949821472168},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4115985929965973},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3975187838077545},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20491015911102295},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.16564449667930603},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09199324250221252}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8028227686882019},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.7078271508216858},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.6885195374488831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5865892171859741},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5253543257713318},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5157237648963928},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5106149315834045},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.48864585161209106},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.4217529892921448},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.4192526936531067},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4165949821472168},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4115985929965973},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3975187838077545},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20491015911102295},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.16564449667930603},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09199324250221252},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdar.2015.7333742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2015.7333742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 13th International Conference on Document Analysis and Recognition (ICDAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6399999856948853,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W95215663","https://openalex.org/W99399284","https://openalex.org/W1487940167","https://openalex.org/W1972016971","https://openalex.org/W2013767392","https://openalex.org/W2074231493","https://openalex.org/W2097706568","https://openalex.org/W2106882534","https://openalex.org/W2128613007","https://openalex.org/W2152574989","https://openalex.org/W2164177007","https://openalex.org/W6674647444"],"related_works":["https://openalex.org/W2594897229","https://openalex.org/W2151348424","https://openalex.org/W4221142855","https://openalex.org/W2050138804","https://openalex.org/W4290708361","https://openalex.org/W2129812225","https://openalex.org/W26527944","https://openalex.org/W2523799048","https://openalex.org/W2155620340","https://openalex.org/W2944691285"],"abstract_inverted_index":{"Different":[0],"recognizers":[1,86],"may":[2],"result":[3],"in":[4],"different":[5,52],"mistakes":[6],"when":[7],"they":[8],"are":[9],"used":[10],"to":[11,30,43,61,83,112,132],"recognize":[12],"a":[13,21,45],"Chinese":[14,26,32],"address.":[15],"In":[16],"this":[17],"paper,":[18],"we":[19],"present":[20],"method":[22,37,79,103],"of":[23,47,77,96,123],"combining":[24],"multiple":[25,40,51],"address":[27,33,94],"recognition":[28,34,107],"outputs":[29,54],"improve":[31],"accuracy.":[35],"The":[36,90],"first":[38],"employs":[39],"sequence":[41],"alignment":[42],"generate":[44],"lattice":[46],"candidate":[48,66],"hypotheses":[49],"from":[50,110,130],"recognizer":[53],"and":[55,87],"then":[56],"applies":[57],"statistical":[58],"language":[59],"model":[60],"choose":[62],"the":[63,69,72,75,84,93,101,105,119],"maximum":[64,70],"likelihood":[65],"sequence.":[67],"Taking":[68],"as":[71],"final":[73],"decision,":[74],"performance":[76],"our":[78],"is":[80],"superior,":[81],"compared":[82],"single":[85],"Miyao's":[88],"method.":[89],"experiments":[91],"on":[92],"images":[95],"real":[97],"envelopes":[98],"demonstrate":[99],"that":[100],"proposed":[102],"increases":[104,129],"character":[106],"accuracy":[108],"rate":[109,122],"95.80%":[111],"98.38%,":[113],"with":[114],"61.30%":[115],"error":[116],"reduction.":[117],"Furthermore,":[118],"corrected":[120],"sorting":[121,127],"an":[124],"automatic":[125],"mail":[126],"system":[128],"84.11%":[131],"93.72%.":[133]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}