{"id":"https://openalex.org/W2283763484","doi":"https://doi.org/10.1145/2651444","title":"Recognition of Patient-Related Named Entities in Noisy Tele-Health Texts","display_name":"Recognition of Patient-Related Named Entities in Noisy Tele-Health Texts","publication_year":2015,"publication_date":"2015-07-24","ids":{"openalex":"https://openalex.org/W2283763484","doi":"https://doi.org/10.1145/2651444","mag":"2283763484"},"language":"en","primary_location":{"id":"doi:10.1145/2651444","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2651444","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-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/A5100743278","display_name":"Miyoung Kim","orcid":"https://orcid.org/0000-0002-8903-5044"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mi-Young Kim","raw_affiliation_strings":["University of Alberta, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100652476","display_name":"Ying Xu","orcid":"https://orcid.org/0000-0002-5503-2929"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ying Xu","raw_affiliation_strings":["University of Alberta, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053745515","display_name":"Osmar R. Zai\u034f\u0308ane","orcid":"https://orcid.org/0000-0002-0060-5988"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Osmar R. Zaiane","raw_affiliation_strings":["University of Alberta, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091866119","display_name":"Randy Goebel","orcid":"https://orcid.org/0000-0002-0739-2946"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Randy Goebel","raw_affiliation_strings":["University of Alberta, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154425047"],"apc_list":null,"apc_paid":null,"fwci":0.8731,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.836266,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"6","issue":"4","first_page":"1","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8730252981185913},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5299777984619141},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5245811343193054},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.5080206394195557},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5010519027709961},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.47182971239089966},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4718187749385834},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.4676864743232727},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.4597272276878357},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.45217353105545044},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.42429038882255554},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39874136447906494},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.3810461461544037},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35579437017440796}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8730252981185913},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5299777984619141},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5245811343193054},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.5080206394195557},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5010519027709961},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.47182971239089966},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4718187749385834},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.4676864743232727},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.4597272276878357},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.45217353105545044},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.42429038882255554},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39874136447906494},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3810461461544037},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35579437017440796},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2651444","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2651444","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W24127423","https://openalex.org/W48813051","https://openalex.org/W94547874","https://openalex.org/W120873466","https://openalex.org/W197270748","https://openalex.org/W223574994","https://openalex.org/W1034019924","https://openalex.org/W1550258693","https://openalex.org/W1642278221","https://openalex.org/W1956885672","https://openalex.org/W1984291951","https://openalex.org/W2006766484","https://openalex.org/W2012688074","https://openalex.org/W2014415866","https://openalex.org/W2018874418","https://openalex.org/W2032566933","https://openalex.org/W2036935277","https://openalex.org/W2040424384","https://openalex.org/W2044420612","https://openalex.org/W2045016337","https://openalex.org/W2066792529","https://openalex.org/W2077052646","https://openalex.org/W2091181883","https://openalex.org/W2093390569","https://openalex.org/W2093969396","https://openalex.org/W2105892820","https://openalex.org/W2107322005","https://openalex.org/W2110871096","https://openalex.org/W2117837957","https://openalex.org/W2123167824","https://openalex.org/W2125577751","https://openalex.org/W2125726375","https://openalex.org/W2132655161","https://openalex.org/W2145036943","https://openalex.org/W2146084056","https://openalex.org/W2148022628","https://openalex.org/W2151363315","https://openalex.org/W2168041406","https://openalex.org/W2251758222","https://openalex.org/W2261688869","https://openalex.org/W2589887588","https://openalex.org/W2890484448","https://openalex.org/W2914463643","https://openalex.org/W2952509172","https://openalex.org/W4206765718"],"related_works":["https://openalex.org/W2805262146","https://openalex.org/W4379517534","https://openalex.org/W2916255597","https://openalex.org/W3095980030","https://openalex.org/W4319940250","https://openalex.org/W2352298027","https://openalex.org/W842810586","https://openalex.org/W2092919065","https://openalex.org/W4286980122","https://openalex.org/W4379379356"],"abstract_inverted_index":{"We":[0],"explore":[1],"methods":[2],"for":[3],"effectively":[4],"extracting":[5],"information":[6,40,83,124,168],"from":[7,84],"clinical":[8,36],"narratives":[9,37],"that":[10,224,260],"are":[11,61],"captured":[12],"in":[13],"a":[14,71,176,183,197,222],"public":[15],"health":[16],"consulting":[17,54],"phone":[18,67],"service":[19],"called":[20],"HealthLink.":[21],"Our":[22],"research":[23],"investigates":[24],"the":[25,59,81,85,208,217,226,249,256],"application":[26],"of":[27,41,48,76,98,110,115,149,161,185,188,204,210,233,251],"state-of-the-art":[28],"natural":[29],"language":[30],"processing":[31],"and":[32,74,113,117,125,146,158,172,214,245,254],"machine":[33],"learning":[34,179],"to":[35,38,90,181,239,246],"extract":[39,80],"interest.":[42],"The":[43,202,231],"currently":[44],"available":[45],"data":[46,60],"consist":[47],"dialogues":[49],"constructed":[50],"by":[51,56,64,151,220],"nurses":[52,65],"while":[53],"patients":[55],"phone.":[57],"Since":[58],"interviews":[62],"transcribed":[63],"during":[66],"conversations,":[68],"they":[69],"include":[70],"significant":[72],"volume":[73],"variety":[75,184],"noise.":[77],"When":[78],"we":[79,88,133,174,195,215,261],"patient-related":[82],"noisy":[86],"data,":[87],"have":[89],"remove":[91],"or":[92],"correct":[93],"at":[94],"least":[95],"two":[96],"kinds":[97],"noise:":[99],"explicit":[100,131],"noise":[101,119,267],",":[102,120],"which":[103,121],"includes":[104,122],"spelling":[105],"errors,":[106],"unfinished":[107],"sentences,":[108],"omission":[109],"sentence":[111],"delimiters,":[112],"variants":[114],"terms,":[116,156],"implicit":[118,193],"non-patient":[123],"patient's":[126],"untrustworthy":[127],"information.":[128],"To":[129,191],"filter":[130],"noise,":[132,194],"propose":[134,175,196],"our":[135,205,266],"own":[136],"biomedical":[137,243],"term":[138,144],"detection/normalization":[139],"method:":[140],"it":[141],"resolves":[142],"misspelling,":[143],"variations,":[145],"arbitrary":[147,186],"abbreviation":[148],"terms":[150,244],"nurses.":[152],"In":[153],"detecting":[154],"temporal":[155],"temperature,":[157],"other":[159],"types":[160],"named":[162,189,218,229],"entities":[163,219],"(which":[164],"show":[165,259],"patients\u2019":[166,252],"personal":[167],"such":[169],"as":[170],"age":[171],"sex),":[173],"bootstrapping-based":[177],"pattern":[178],"process":[180],"detect":[182],"variations":[187],"entities.":[190,230],"address":[192],"dependency":[198],"path-based":[199],"filtering":[200],"method.":[201],"result":[203],"denoising":[206],"is":[207,238],"extraction":[209],"normalized":[211],"patient":[212],"information,":[213],"visualize":[216],"constructing":[221],"graph":[223],"shows":[225],"relations":[227],"between":[228,242],"objective":[232],"this":[234],"knowledge":[235],"discovery":[236],"task":[237],"identify":[240],"associations":[241],"clearly":[247],"expose":[248],"trends":[250],"symptoms":[253],"concern;":[255],"experimental":[257],"results":[258],"achieve":[262],"reasonable":[263],"performance":[264],"with":[265],"reduction":[268],"methods.":[269]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
