{"id":"https://openalex.org/W2771344634","doi":"https://doi.org/10.1177/0165551517743644","title":"A discourse-aware neural network-based text model for document-level text classification","display_name":"A discourse-aware neural network-based text model for document-level text classification","publication_year":2017,"publication_date":"2017-12-04","ids":{"openalex":"https://openalex.org/W2771344634","doi":"https://doi.org/10.1177/0165551517743644","mag":"2771344634"},"language":"en","primary_location":{"id":"doi:10.1177/0165551517743644","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551517743644","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","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/A5101899300","display_name":"Kangwook Lee","orcid":"https://orcid.org/0000-0002-3360-9678"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kangwook Lee","raw_affiliation_strings":["School of Computing, KAIST, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, KAIST, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073143756","display_name":"Sanggyu Han","orcid":"https://orcid.org/0009-0004-8571-1983"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sanggyu Han","raw_affiliation_strings":["School of Computing, KAIST, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, KAIST, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001914535","display_name":"Sung-Hyon Myaeng","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sung-Hyon Myaeng","raw_affiliation_strings":["School of Computing, KAIST, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, KAIST, South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5001914535"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":{"value":3650,"currency":"USD","value_usd":3650},"apc_paid":null,"fwci":1.3688,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.86612406,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"44","issue":"6","first_page":"715","last_page":"735"},"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9994000196456909,"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":0.9994000196456909,"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":0.7778103947639465},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6924378871917725},{"id":"https://openalex.org/keywords/thematic-structure","display_name":"Thematic structure","score":0.6493204832077026},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6433645486831665},{"id":"https://openalex.org/keywords/sarcasm","display_name":"Sarcasm","score":0.6391043066978455},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5878289341926575},{"id":"https://openalex.org/keywords/rhetorical-question","display_name":"Rhetorical question","score":0.5463557243347168},{"id":"https://openalex.org/keywords/discourse-analysis","display_name":"Discourse analysis","score":0.5352090001106262},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5139762759208679},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.47851669788360596},{"id":"https://openalex.org/keywords/text-linguistics","display_name":"Text linguistics","score":0.45137491822242737},{"id":"https://openalex.org/keywords/text-mining","display_name":"Text mining","score":0.43623197078704834},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3425876498222351},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33474022150039673}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7778103947639465},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6924378871917725},{"id":"https://openalex.org/C2778109090","wikidata":"https://www.wikidata.org/wiki/Q7781195","display_name":"Thematic structure","level":2,"score":0.6493204832077026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6433645486831665},{"id":"https://openalex.org/C2776207355","wikidata":"https://www.wikidata.org/wiki/Q191035","display_name":"Sarcasm","level":3,"score":0.6391043066978455},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5878289341926575},{"id":"https://openalex.org/C192562157","wikidata":"https://www.wikidata.org/wiki/Q316694","display_name":"Rhetorical question","level":2,"score":0.5463557243347168},{"id":"https://openalex.org/C84389358","wikidata":"https://www.wikidata.org/wiki/Q1129466","display_name":"Discourse analysis","level":2,"score":0.5352090001106262},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5139762759208679},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.47851669788360596},{"id":"https://openalex.org/C64417998","wikidata":"https://www.wikidata.org/wiki/Q1206895","display_name":"Text linguistics","level":2,"score":0.45137491822242737},{"id":"https://openalex.org/C71472368","wikidata":"https://www.wikidata.org/wiki/Q676880","display_name":"Text mining","level":2,"score":0.43623197078704834},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3425876498222351},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33474022150039673},{"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/C2779975665","wikidata":"https://www.wikidata.org/wiki/Q131361","display_name":"Irony","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/0165551517743644","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551517743644","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8299999833106995,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G3656269350","display_name":null,"funder_award_id":"2013-0-00179","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"}],"funders":[{"id":"https://openalex.org/F4320322030","display_name":"Ministry of Science, ICT and Future Planning","ror":"https://ror.org/032e49973"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1574901103","https://openalex.org/W1614298861","https://openalex.org/W1816079941","https://openalex.org/W1842565584","https://openalex.org/W2045738181","https://openalex.org/W2064675550","https://openalex.org/W2110951295","https://openalex.org/W2143432970","https://openalex.org/W2148034183","https://openalex.org/W2158899491","https://openalex.org/W2251293245","https://openalex.org/W2612649659","https://openalex.org/W2930957955","https://openalex.org/W3123338631","https://openalex.org/W4250641076","https://openalex.org/W4285719527","https://openalex.org/W6624664881","https://openalex.org/W6764259099"],"related_works":["https://openalex.org/W4223983815","https://openalex.org/W2895083663","https://openalex.org/W3040659826","https://openalex.org/W3185130901","https://openalex.org/W2610081246","https://openalex.org/W2770471982","https://openalex.org/W4312674007","https://openalex.org/W2368099769","https://openalex.org/W2770474375","https://openalex.org/W4304203457"],"abstract_inverted_index":{"Capturing":[0],"semantics":[1],"scattered":[2],"across":[3],"entire":[4],"text":[5,25,36,45,62,77,149],"is":[6,116],"one":[7],"of":[8,29,44,61,76,80,131,178,199,208],"the":[9,70,86,125,129,132,135,143,160,176,190,197,206,209],"important":[10],"issues":[11],"for":[12,146],"Natural":[13],"Language":[14],"Processing":[15],"(NLP)":[16],"tasks.":[17,193],"It":[18],"would":[19],"be":[20],"particularly":[21],"critical":[22],"with":[23,46,157],"long":[24],"embodying":[26],"a":[27,34,53,103,119],"flow":[28],"themes.":[30],"This":[31],"article":[32],"proposes":[33],"new":[35],"modelling":[37,187],"method":[38,92],"that":[39,55,123,163],"can":[40],"handle":[41],"thematic":[42],"flows":[43],"Deep":[47],"Neural":[48],"Networks":[49],"(DNNs)":[50],"in":[51,102],"such":[52],"way":[54],"discourse":[56,87,100,112,126,136,166,184],"information":[57,127],"and":[58,78,98,134,138,154,182],"distributed":[59,82],"representations":[60,83],"are":[63],"incorporate.":[64],"Unlike":[65],"previous":[66],"DNN-based":[67],"document":[68,105,133,144,212],"models,":[69],"proposed":[71,210],"model":[72,145],"enables":[73],"discourse-aware":[74,211],"analysis":[75,153],"composition":[79],"sentence-level":[81],"guided":[84],"by":[85,106],"structure.":[88],"More":[89],"specifically,":[90],"our":[91],"identifies":[93],"Elementary":[94],"Discourse":[95],"Units":[96],"(EDUs)":[97],"their":[99],"relations":[101],"given":[104],"applying":[107],"Rhetorical":[108],"Structure":[109],"Theory":[110],"(RST)-based":[111],"analysis.":[113],"The":[114],"result":[115],"fed":[117],"into":[118],"tree-structured":[120],"neural":[121,179],"network":[122,180],"reflects":[124],"including":[128],"structure":[130],"roles":[137],"relation":[139],"types.":[140],"We":[141],"evaluate":[142,175],"two":[147,191],"document-level":[148],"classification":[150,192],"tasks,":[151],"sentiment":[152],"sarcasm":[155],"detection,":[156],"comparisons":[158],"against":[159],"reference":[161],"systems":[162],"also":[164],"utilise":[165],"information.":[167],"In":[168],"addition,":[169],"we":[170,195],"conduct":[171],"additional":[172],"experiments":[173],"to":[174],"impact":[177],"types":[181],"adopted":[183],"factors":[185],"on":[186,205],"documents":[188],"vis-\u00e0-vis":[189],"Furthermore,":[194],"investigate":[196],"effects":[198],"various":[200],"learning":[201],"methods,":[202],"input":[203],"units":[204],"quality":[207],"model.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
