{"id":"https://openalex.org/W3200593850","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533922","title":"Summary2vec: Learning Semantic Representation of Summaries for Healthcare Analytics","display_name":"Summary2vec: Learning Semantic Representation of Summaries for Healthcare Analytics","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3200593850","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533922","mag":"3200593850"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533922","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533922","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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/A5008357668","display_name":"Samira Ghodratnama","orcid":"https://orcid.org/0000-0002-4443-8333"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Samira Ghodratnama","raw_affiliation_strings":["Macquarie University, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044037621","display_name":"Mehrdad Zakershahrak","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mehrdad Zakershahrak","raw_affiliation_strings":["Arizona State University, Arizona, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Arizona, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056293251","display_name":"Amin Beheshti","orcid":"https://orcid.org/0000-0002-5988-5494"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Amin Beheshti","raw_affiliation_strings":["Macquarie University, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008357668"],"corresponding_institution_ids":["https://openalex.org/I99043593"],"apc_list":null,"apc_paid":null,"fwci":1.2599,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83967443,"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":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994000196456909,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9987000226974487,"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":0.7930848598480225},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.7484172582626343},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5748957395553589},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5268503427505493},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4755943715572357},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42280763387680054},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4201034903526306},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.41519221663475037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17464029788970947}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7930848598480225},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.7484172582626343},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5748957395553589},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5268503427505493},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4755943715572357},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42280763387680054},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4201034903526306},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.41519221663475037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17464029788970947},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533922","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533922","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.46000000834465027,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W964815481","https://openalex.org/W1512198095","https://openalex.org/W1553820222","https://openalex.org/W1582994844","https://openalex.org/W1588495139","https://openalex.org/W1968761064","https://openalex.org/W1975557247","https://openalex.org/W1980932203","https://openalex.org/W1989217037","https://openalex.org/W1989335536","https://openalex.org/W2002135832","https://openalex.org/W2037802158","https://openalex.org/W2057578853","https://openalex.org/W2071949631","https://openalex.org/W2081056190","https://openalex.org/W2098651115","https://openalex.org/W2111281059","https://openalex.org/W2134979673","https://openalex.org/W2143514833","https://openalex.org/W2150156140","https://openalex.org/W2154652894","https://openalex.org/W2237748339","https://openalex.org/W2286763525","https://openalex.org/W2293771131","https://openalex.org/W2395322460","https://openalex.org/W2470673105","https://openalex.org/W2519081496","https://openalex.org/W2770805702","https://openalex.org/W2791156637","https://openalex.org/W2886888008","https://openalex.org/W2901793572","https://openalex.org/W2939367266","https://openalex.org/W2939442601","https://openalex.org/W2950133940","https://openalex.org/W2964315079","https://openalex.org/W3005351039","https://openalex.org/W3021147665","https://openalex.org/W3045692926","https://openalex.org/W3098800931","https://openalex.org/W3117699909","https://openalex.org/W3126309405","https://openalex.org/W3173540827","https://openalex.org/W3175689779","https://openalex.org/W4247027719","https://openalex.org/W4287550120","https://openalex.org/W4294170691","https://openalex.org/W6625142204","https://openalex.org/W6634719007","https://openalex.org/W6682631176","https://openalex.org/W6682691769","https://openalex.org/W6711870289","https://openalex.org/W6761037360","https://openalex.org/W6761391862","https://openalex.org/W6787431743","https://openalex.org/W6788193868","https://openalex.org/W6790215806"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2093597205","https://openalex.org/W2389846579","https://openalex.org/W2392495745","https://openalex.org/W132250100","https://openalex.org/W2725657302","https://openalex.org/W3212259741","https://openalex.org/W4286981447","https://openalex.org/W1531174292","https://openalex.org/W3035794723"],"abstract_inverted_index":{"The":[0],"ever-increasing":[1],"amount":[2],"of":[3,77,80,123],"text":[4],"data":[5],"makes":[6],"it":[7],"challenging":[8],"for":[9,22,133],"humans":[10],"to":[11,53,73,87,90,129,144,150,157],"extract":[12],"the":[13,23,83,96,99,155],"required":[14,86],"information.":[15],"This":[16,101],"problem":[17],"is":[18,30,85,113,127],"even":[19],"more":[20,159],"vital":[21],"medical":[24,39,43],"domain,":[25],"where":[26,110],"accessing":[27],"up-to-date":[28],"information":[29,124,161],"essential.":[31],"Physicians":[32],"and":[33,37,60,98],"researchers":[34],"face":[35],"diverse":[36],"extensive":[38],"sources":[40],"such":[41,71],"as":[42],"journal":[44],"articles,":[45],"websites,":[46],"or":[47],"patient":[48],"records.":[49],"Therefore,":[50],"they":[51],"require":[52,138],"analyze":[54],"them":[55],"based":[56],"on":[57],"their":[58],"interests":[59],"needs":[61],"quickly.":[62],"Intelligent":[63],"content":[64],"summarization":[65,148],"approaches":[66],"are":[67],"assisting":[68],"tools":[69],"in":[70],"situations":[72],"provides":[74],"an":[75],"overview":[76],"a":[78,104,116,146],"set":[79],"documents.":[81],"However,":[82],"summary":[84,112],"be":[88],"tailored":[89],"two":[91],"different":[92],"users":[93,152],"type":[94],"preferences:":[95],"physician":[97],"patient.":[100],"paper":[102],"proposes":[103],"novel":[105],"embedding":[106],"method,":[107],"called":[108],"Summary2vec,":[109],"each":[111],"presented":[114],"by":[115,164],"fixed":[117],"-length":[118],"vector":[119],"covering":[120],"various":[121,134],"aspects":[122],"space.":[125],"Summary2vec":[126,143],"remedial":[128],"design":[130],"automatic":[131],"services":[132],"analytic":[135],"purposes":[136],"that":[137],"information-seeking":[139],"activity.":[140],"We":[141],"leverage":[142],"produce":[145],"hierarchical":[147],"structure":[149],"enable":[151],"navigating":[153],"through":[154],"hierarchy":[156],"gain":[158],"elaborated":[160],"upon":[162],"request":[163],"engaging":[165],"them.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-10T00:00:00"}