{"id":"https://openalex.org/W3110303792","doi":"https://doi.org/10.1145/3397536.3422201","title":"Noise Prediction for Geocoding Queries using Word Geospatial Embedding and Bidirectional LSTM","display_name":"Noise Prediction for Geocoding Queries using Word Geospatial Embedding and Bidirectional LSTM","publication_year":2020,"publication_date":"2020-11-03","ids":{"openalex":"https://openalex.org/W3110303792","doi":"https://doi.org/10.1145/3397536.3422201","mag":"3110303792"},"language":"en","primary_location":{"id":"doi:10.1145/3397536.3422201","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397536.3422201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"type":"article","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/A5061246132","display_name":"Tin Vu","orcid":"https://orcid.org/0000-0003-4088-7091"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tin Vu","raw_affiliation_strings":["University of California, Riverside, Riverside, California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Riverside, Riverside, California","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067211524","display_name":"Solluna Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Solluna Liu","raw_affiliation_strings":["Microsoft Corporation, Redmond, Washington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, Redmond, Washington","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083039718","display_name":"Renzhong Wang","orcid":"https://orcid.org/0009-0008-4503-1173"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Renzhong Wang","raw_affiliation_strings":["Microsoft Corporation, Redmond, Washington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, Redmond, Washington","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072894089","display_name":"Kumarswamy Valegerepura","orcid":"https://orcid.org/0009-0003-0775-8623"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kumarswamy Valegerepura","raw_affiliation_strings":["Microsoft Corporation, Redmond, Washington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, Redmond, Washington","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9253,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.92131401,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"127","last_page":"130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9973000288009644,"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/geocoding","display_name":"Geocoding","score":0.9297982454299927},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8368179798126221},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.6381059885025024},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5455273389816284},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5309255719184875},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.5134176015853882},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49974894523620605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47063183784484863},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.45557892322540283},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.450094997882843},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44241252541542053},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36518338322639465},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10952481627464294},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08988943696022034}],"concepts":[{"id":"https://openalex.org/C42629822","wikidata":"https://www.wikidata.org/wiki/Q1346408","display_name":"Geocoding","level":2,"score":0.9297982454299927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8368179798126221},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.6381059885025024},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5455273389816284},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5309255719184875},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.5134176015853882},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49974894523620605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47063183784484863},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.45557892322540283},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.450094997882843},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44241252541542053},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36518338322639465},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10952481627464294},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08988943696022034},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3397536.3422201","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397536.3422201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6600000262260437,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1940872118","https://openalex.org/W1989750313","https://openalex.org/W2120770606","https://openalex.org/W2138302120","https://openalex.org/W2153579005","https://openalex.org/W2158190429","https://openalex.org/W2250539671","https://openalex.org/W2962739339","https://openalex.org/W4206192903"],"related_works":["https://openalex.org/W10590203","https://openalex.org/W3125352268","https://openalex.org/W1829360400","https://openalex.org/W2004610910","https://openalex.org/W1978785994","https://openalex.org/W4300629242","https://openalex.org/W3211387877","https://openalex.org/W4286432911","https://openalex.org/W3093943447","https://openalex.org/W3200224724"],"abstract_inverted_index":{"User":[0],"geocoding":[1,81,105],"queries":[2,82,106],"in":[3,13,80],"map":[4],"applications":[5],"often":[6],"contain":[7],"noisy":[8,46,78],"tokens":[9,47,79],"such":[10],"as":[11],"typos":[12],"street,":[14],"city":[15],"name,":[16],"wrong":[17],"postal":[18],"code,":[19],"redundant":[20],"words":[21],"due":[22],"to":[23,58,74,90,137],"copy-paste":[24],"action,":[25],"etc.":[26],"This":[27],"issue":[28],"becomes":[29],"worse":[30],"with":[31],"the":[32,50,59,75,91,129,141],"rapid":[33],"growth":[34],"of":[35],"mobile":[36],"devices,":[37],"where":[38],"errors":[39],"from":[40],"user":[41],"input":[42],"are":[43,55],"inevitable.":[44],"Such":[45],"may":[48],"fail":[49],"searching":[51,92],"process":[52],"if":[53],"they":[54],"passed":[56],"as-is":[57],"downstream":[60],"query":[61],"processing":[62],"components.":[63],"In":[64,94],"particular,":[65],"there":[66],"might":[67],"be":[68,84,138],"nothing":[69],"or":[70],"irrelevant":[71],"results":[72],"returned":[73],"user.":[76],"Therefore,":[77],"should":[83],"recognized":[85],"and":[86,117],"handled":[87],"properly":[88],"prior":[89],"process.":[93],"this":[95],"paper,":[96],"a":[97,111,118],"deep":[98],"learning":[99,149],"based":[100,121],"noise":[101],"prediction":[102],"model":[103,132],"for":[104],"is":[107,128],"proposed.":[108],"It":[109,144],"combines":[110],"novel":[112],"Word":[113],"Geospatial":[114],"Embedding":[115],"(WGE)":[116],"Bidirectional":[119],"LSTM":[120],"sequence":[122],"tagging":[123],"model.":[124],"The":[125],"proposed":[126],"WGE":[127],"first":[130],"language":[131],"that":[133],"allows":[134,145],"geospatial":[135],"semantics":[136],"encoded":[139],"into":[140],"vector":[142],"representations.":[143],"geo-related":[146],"machine":[147],"learning/deep":[148],"models":[150],"making":[151],"spatial-aware":[152],"prediction.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
