{"id":"https://openalex.org/W4367046772","doi":"https://doi.org/10.1145/3543507.3583449","title":"Towards Understanding Consumer Healthcare Questions on the Web with Semantically Enhanced Contrastive Learning","display_name":"Towards Understanding Consumer Healthcare Questions on the Web with Semantically Enhanced Contrastive Learning","publication_year":2023,"publication_date":"2023-04-26","ids":{"openalex":"https://openalex.org/W4367046772","doi":"https://doi.org/10.1145/3543507.3583449"},"language":"en","primary_location":{"id":"doi:10.1145/3543507.3583449","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543507.3583449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2023","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/A5021680636","display_name":"Shweta Yadav","orcid":null},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shweta Yadav","raw_affiliation_strings":["University of Illinois at Chicago, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078102337","display_name":"\u0218tefan Cobeli","orcid":"https://orcid.org/0000-0002-9277-1317"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"\u0218tefan Cobeli","raw_affiliation_strings":["University of Illinois at Chicago, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089085275","display_name":"Cornelia Caragea","orcid":"https://orcid.org/0000-0002-5664-2163"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cornelia Caragea","raw_affiliation_strings":["University of Illinois at Chicago, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021680636"],"corresponding_institution_ids":["https://openalex.org/I39422238"],"apc_list":null,"apc_paid":null,"fwci":0.1746,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52119977,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1773","last_page":"1783"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9937999844551086,"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":0.9932000041007996,"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/automatic-summarization","display_name":"Automatic summarization","score":0.9011924266815186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8250071406364441},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6425663232803345},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.571105420589447},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.5148962736129761},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4376932382583618},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35357925295829773},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3508571982383728},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3440791964530945}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9011924266815186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8250071406364441},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6425663232803345},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.571105420589447},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.5148962736129761},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4376932382583618},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35357925295829773},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3508571982383728},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3440791964530945},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3543507.3583449","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543507.3583449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8600000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2081580037","https://openalex.org/W2251329024","https://openalex.org/W2621238059","https://openalex.org/W2740887992","https://openalex.org/W2768957049","https://openalex.org/W2962884827","https://openalex.org/W2962965405","https://openalex.org/W2963716420","https://openalex.org/W2963929190","https://openalex.org/W2964165364","https://openalex.org/W2970641574","https://openalex.org/W2981852735","https://openalex.org/W3023167149","https://openalex.org/W3034383590","https://openalex.org/W3034999214","https://openalex.org/W3102489149","https://openalex.org/W3102645206","https://openalex.org/W3165988112","https://openalex.org/W3166358520","https://openalex.org/W3170069996","https://openalex.org/W3170083118","https://openalex.org/W3170658419","https://openalex.org/W3172905688","https://openalex.org/W3177211806","https://openalex.org/W3177314227","https://openalex.org/W4225873349","https://openalex.org/W4288089799"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W4306886878","https://openalex.org/W2973759123","https://openalex.org/W1517524280"],"abstract_inverted_index":{"In":[0,71],"recent":[1],"years,":[2],"seeking":[3],"health":[4,130],"information":[5,20],"on":[6,97,126],"the":[7,54,59,102,108,111,119,135],"web":[8],"has":[9,110],"become":[10],"a":[11,76],"preferred":[12],"way":[13,46],"for":[14,81],"healthcare":[15,23,37],"consumers":[16,24],"to":[17,34,40,47,100],"support":[18],"their":[19,36],"needs.":[21],"Generally,":[22],"use":[25],"long":[26],"and":[27,89,115,145,149],"detailed":[28],"questions":[29],"with":[30],"several":[31],"peripheral":[32],"details":[33],"express":[35],"concerns,":[38],"contributing":[39],"natural":[41],"language":[42],"understanding":[43,112],"challenges.":[44],"One":[45],"address":[48],"this":[49,72],"challenge":[50],"is":[51],"by":[52,141,154],"summarizing":[53],"questions.":[55],"However,":[56],"most":[57],"of":[58,113,118,137],"existing":[60],"abstractive":[61,83],"summarization":[62,132],"systems":[63],"generate":[64,101],"impeccably":[65],"fluent":[66,150],"yet":[67],"factually":[68,90,147],"incorrect":[69,116],"summaries.":[70],"paper,":[73],"we":[74],"present":[75],"semantically-enhanced":[77],"contrastive":[78],"learning-based":[79],"framework":[80],"generating":[82,146],"question":[84,98,131],"summaries":[85],"that":[86,107],"are":[87],"faithful":[88],"correct.":[91],"We":[92],"devised":[93],"multiple":[94],"strategies":[95],"based":[96],"semantics":[99],"erroneous":[103],"(negative)":[104],"summaries,":[105,151],"such":[106],"model":[109],"plausible":[114],"perturbations":[117],"original":[120],"summary.":[121],"Our":[122],"extensive":[123],"experimental":[124],"results":[125],"two":[127],"benchmark":[128],"consumer":[129],"datasets":[133],"confirm":[134],"effectiveness":[136],"our":[138],"proposed":[139],"method":[140],"achieving":[142],"state-of-the-art":[143],"performance":[144],"correct":[148],"as":[152],"measured":[153],"human":[155],"evaluation.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
