{"id":"https://openalex.org/W2611234197","doi":"https://doi.org/10.1109/percom.2017.7917875","title":"Preclude: Conflict detection in textual health advice","display_name":"Preclude: Conflict detection in textual health advice","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2611234197","doi":"https://doi.org/10.1109/percom.2017.7917875","mag":"2611234197"},"language":"en","primary_location":{"id":"doi:10.1109/percom.2017.7917875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percom.2017.7917875","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Pervasive Computing and Communications (PerCom)","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/A5066969862","display_name":"Sarah Masud Preum","orcid":"https://orcid.org/0000-0002-7771-8323"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sarah Masud Preum","raw_affiliation_strings":["Department of Computer Science, University of Virginia, Charlottesville, Virginia"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Virginia, Charlottesville, Virginia","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082998225","display_name":"Abu Sayeed Mondol","orcid":"https://orcid.org/0000-0003-4036-0978"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abu Sayeed Mondol","raw_affiliation_strings":["Department of Computer Science, University of Virginia, Charlottesville, Virginia"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Virginia, Charlottesville, Virginia","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007967134","display_name":"Meiyi Ma","orcid":"https://orcid.org/0000-0001-6916-8774"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Meiyi Ma","raw_affiliation_strings":["Department of Computer Science, University of Virginia, Charlottesville, Virginia"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Virginia, Charlottesville, Virginia","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085094109","display_name":"Hongning Wang","orcid":"https://orcid.org/0000-0002-6524-9195"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongning Wang","raw_affiliation_strings":["Department of Computer Science, University of Virginia, Charlottesville, Virginia"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Virginia, Charlottesville, Virginia","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100603760","display_name":"John A. Stankovic","orcid":"https://orcid.org/0000-0001-7307-9395"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John A. Stankovic","raw_affiliation_strings":["Department of Computer Science, University of Virginia, Charlottesville, Virginia"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Virginia, Charlottesville, Virginia","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5066969862"],"corresponding_institution_ids":["https://openalex.org/I51556381"],"apc_list":null,"apc_paid":null,"fwci":1.7552,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.88233405,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9983999729156494,"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":0.9983999729156494,"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/T10737","display_name":"Health Literacy and Information Accessibility","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9850000143051147,"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/advice","display_name":"Advice (programming)","score":0.7811317443847656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6269460320472717},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.602494478225708},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5686880946159363},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5647727847099304},{"id":"https://openalex.org/keywords/contradiction","display_name":"Contradiction","score":0.5054049491882324},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4272735118865967},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4252707362174988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40736380219459534},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.16361463069915771}],"concepts":[{"id":"https://openalex.org/C2779955035","wikidata":"https://www.wikidata.org/wiki/Q4686785","display_name":"Advice (programming)","level":2,"score":0.7811317443847656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6269460320472717},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.602494478225708},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5686880946159363},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5647727847099304},{"id":"https://openalex.org/C2776728590","wikidata":"https://www.wikidata.org/wiki/Q363948","display_name":"Contradiction","level":2,"score":0.5054049491882324},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4272735118865967},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4252707362174988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40736380219459534},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.16361463069915771},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/percom.2017.7917875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percom.2017.7917875","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Pervasive Computing and Communications (PerCom)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W159638209","https://openalex.org/W568720026","https://openalex.org/W1534180265","https://openalex.org/W1975879668","https://openalex.org/W1993913560","https://openalex.org/W1996430422","https://openalex.org/W1996784677","https://openalex.org/W2001857985","https://openalex.org/W2006267880","https://openalex.org/W2015185311","https://openalex.org/W2031087144","https://openalex.org/W2037646636","https://openalex.org/W2046125952","https://openalex.org/W2064089371","https://openalex.org/W2075831395","https://openalex.org/W2078714593","https://openalex.org/W2103333826","https://openalex.org/W2105916270","https://openalex.org/W2122402213","https://openalex.org/W2123442489","https://openalex.org/W2126335261","https://openalex.org/W2130359236","https://openalex.org/W2144883426","https://openalex.org/W2200412561","https://openalex.org/W2251758222","https://openalex.org/W2321342967","https://openalex.org/W2339696902","https://openalex.org/W2400971039","https://openalex.org/W2911261277","https://openalex.org/W3150556222","https://openalex.org/W6606456861","https://openalex.org/W6675969814","https://openalex.org/W6691573161","https://openalex.org/W6712913847","https://openalex.org/W6758349370"],"related_works":["https://openalex.org/W2789919619","https://openalex.org/W2293457016","https://openalex.org/W2380389143","https://openalex.org/W1551406738","https://openalex.org/W2610387714","https://openalex.org/W2369308426","https://openalex.org/W1569841287","https://openalex.org/W1512718085","https://openalex.org/W2359001871","https://openalex.org/W2167662847"],"abstract_inverted_index":{"With":[0],"the":[1,5,48,83,103,109,148,232,238],"rapid":[2],"digitalization":[3],"of":[4,35,47,50,85,95,111,143,147,150,237],"health":[6,16,19,36,88,118,172,211,219,223],"sector,":[7],"people":[8],"often":[9],"turn":[10],"to":[11,62,155,169],"mobile":[12],"apps":[13,220],"and":[14,90,125,135,145,158,181,190,221,230,234,245],"online":[15],"websites":[17],"for":[18],"advice.":[20],"Health":[21],"advice":[22,89,119,152,173,206],"generated":[23],"from":[24,175,216],"different":[25,33],"sources":[26,177],"can":[27,59,73,193],"be":[28,74],"conflicting":[29,87,171],"as":[30,43],"they":[31,44],"address":[32],"aspects":[34],"(e.g.,":[37,53],"weight":[38],"loss,":[39],"diet,":[40],"disease)":[41],"or":[42,69,72],"are":[45,214],"unaware":[46],"context":[49],"a":[51,92,98,164],"user":[52],"age,":[54],"gender,":[55],"physiological":[56,79],"condition).":[57],"Conflicts":[58],"occur":[60],"due":[61],"lexical":[63,124],"features,":[64],"(such":[65],"as,":[66],"negation,":[67],"antonyms,":[68],"numerical":[70],"mismatch)":[71],"conditioned":[75],"upon":[76],"time":[77],"and/or":[78],"status.":[80],"We":[81,200],"formulate":[82],"problem":[84,110],"finding":[86,115,138],"develop":[91,162],"comprehensive":[93],"taxonomy":[94],"conflicts.":[96],"While":[97],"similar":[99],"research":[100],"area":[101],"in":[102,117,227],"natural":[104],"language":[105],"processing":[106],"domain":[107],"explores":[108],"textual":[112],"contradiction":[113],"identification,":[114],"conflicts":[116],"poses":[120],"its":[121],"own":[122],"unique":[123],"semantic":[126,166],"challenges.":[127],"These":[128],"include":[129],"large":[130],"structural":[131],"variation":[132],"between":[133,141],"text":[134],"hypothesis":[136],"pairs,":[137],"conceptual":[139],"overlap":[140],"pairs":[142],"advice,":[144],"inference":[146],"semantics":[149],"an":[151],"(i.e.,":[153],"what":[154],"do,":[156],"why":[157],"how).":[159],"Hence,":[160],"we":[161],"Preclude,":[163],"novel":[165],"rule-based":[167],"solution":[168,187],"detect":[170],"derived":[174],"heterogeneous":[176],"utilizing":[178],"linguistic":[179],"rules":[180],"external":[182],"knowledge":[183],"bases.":[184],"As":[185],"our":[186],"is":[188],"interpretable":[189],"comprehensive,":[191],"it":[192],"guide":[194],"users":[195],"towards":[196],"conflict":[197],"resolution":[198],"too.":[199],"evaluate":[201],"Preclude":[202,225],"using":[203],"1156":[204],"real":[205],"statements":[207],"covering":[208],"8":[209],"important":[210],"topics":[212],"that":[213],"collected":[215],"smart":[217],"phone":[218],"popular":[222],"websites.":[224],"results":[226],"90%":[228],"accuracy":[229,233],"outperforms":[231],"F1":[235],"score":[236],"baseline":[239],"approach":[240],"by":[241],"about":[242],"1.5":[243],"times":[244],"3":[246],"times,":[247],"respectively.":[248]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
