{"id":"https://openalex.org/W2606012298","doi":"https://doi.org/10.1145/3055031.3055038","title":"Conflict detection in online textual health advice","display_name":"Conflict detection in online textual health advice","publication_year":2017,"publication_date":"2017-04-12","ids":{"openalex":"https://openalex.org/W2606012298","doi":"https://doi.org/10.1145/3055031.3055038","mag":"2606012298"},"language":"en","primary_location":{"id":"doi:10.1145/3055031.3055038","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3055031.3055038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","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 M. Preum","raw_affiliation_strings":["University of Virginia"],"affiliations":[{"raw_affiliation_string":"University of 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 S. Mondol","raw_affiliation_strings":["University of Virginia"],"affiliations":[{"raw_affiliation_string":"University of 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":["University of Virginia"],"affiliations":[{"raw_affiliation_string":"University of 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":["University of Virginia"],"affiliations":[{"raw_affiliation_string":"University of 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":["University of Virginia"],"affiliations":[{"raw_affiliation_string":"University of 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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03194471,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"267","last_page":"268"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9990000128746033,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9954000115394592,"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":0.8561927080154419},{"id":"https://openalex.org/keywords/negation","display_name":"Negation","score":0.7836229801177979},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.73185133934021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6368064880371094},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5928839445114136},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5274137258529663},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.524087131023407},{"id":"https://openalex.org/keywords/lexical-semantics","display_name":"Lexical semantics","score":0.5086308717727661},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40013939142227173},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38289719820022583},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3232407569885254},{"id":"https://openalex.org/keywords/lexical-item","display_name":"Lexical item","score":0.19074004888534546}],"concepts":[{"id":"https://openalex.org/C2779955035","wikidata":"https://www.wikidata.org/wiki/Q4686785","display_name":"Advice (programming)","level":2,"score":0.8561927080154419},{"id":"https://openalex.org/C2185349","wikidata":"https://www.wikidata.org/wiki/Q190558","display_name":"Negation","level":2,"score":0.7836229801177979},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.73185133934021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6368064880371094},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5928839445114136},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5274137258529663},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.524087131023407},{"id":"https://openalex.org/C98954769","wikidata":"https://www.wikidata.org/wiki/Q1759657","display_name":"Lexical semantics","level":3,"score":0.5086308717727661},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40013939142227173},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38289719820022583},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3232407569885254},{"id":"https://openalex.org/C126706616","wikidata":"https://www.wikidata.org/wiki/Q2944660","display_name":"Lexical item","level":2,"score":0.19074004888534546},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3055031.3055038","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3055031.3055038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G791127346","display_name":null,"funder_award_id":"CNS-1527563","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2001857985","https://openalex.org/W2130359236","https://openalex.org/W2461749621","https://openalex.org/W2606062705","https://openalex.org/W2999355182"],"related_works":["https://openalex.org/W2059922809","https://openalex.org/W4393601209","https://openalex.org/W2387527986","https://openalex.org/W2479250593","https://openalex.org/W2787784623","https://openalex.org/W4205269283","https://openalex.org/W2249320711","https://openalex.org/W2912626788","https://openalex.org/W4251775493","https://openalex.org/W3213710179"],"abstract_inverted_index":{"Textual":[0],"health":[1,9,43,97],"advice":[2,44,71,98],"generated":[3],"from":[4,41],"different":[5,90],"online":[6,95],"sources":[7],"(e.g.,":[8],"apps":[10],"and":[11,54,64,77,103],"websites)":[12],"can":[13,17,31],"be":[14,32],"conflicting.":[15],"Conflicts":[16],"occur":[18],"due":[19],"to":[20,74,88],"lexical":[21],"features,":[22],"(such":[23],"as,":[24],"negation,":[25],"antonyms,":[26],"or":[27,30],"numerical":[28],"mismatch)":[29],"conditioned":[33],"upon":[34],"time":[35],"and/or":[36],"physiological":[37],"status.":[38],"Detecting":[39],"conflicts":[40,93],"textual":[42,96],"poses":[45],"several":[46],"challenges,":[47],"including,":[48],"large":[49],"structural":[50],"variation":[51],"between":[52,60],"text":[53],"hypothesis":[55],"pairs,":[56],"finding":[57],"conceptual":[58],"overlap":[59],"pairs":[61],"of":[62,66,69,92],"advice,":[63],"inference":[65],"the":[67],"semantics":[68],"an":[70],"(i.e.,":[72],"what":[73],"do,":[75],"why,":[76],"how).":[78],"In":[79],"this":[80],"demonstration,":[81],"we":[82],"present":[83],"a":[84,101],"semantic":[85],"rule-based":[86],"system":[87],"detect":[89],"types":[91],"in":[94,100],"statements":[99],"context-aware":[102],"interpretable":[104],"manner.":[105]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
