{"id":"https://openalex.org/W2803774252","doi":"https://doi.org/10.1080/0952813x.2018.1467492","title":"Detecting logical argumentation in text via communicative discourse tree","display_name":"Detecting logical argumentation in text via communicative discourse tree","publication_year":2018,"publication_date":"2018-05-18","ids":{"openalex":"https://openalex.org/W2803774252","doi":"https://doi.org/10.1080/0952813x.2018.1467492","mag":"2803774252"},"language":"en","primary_location":{"id":"doi:10.1080/0952813x.2018.1467492","doi":"https://doi.org/10.1080/0952813x.2018.1467492","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0952813x.2018.1467492","pdf_url":null,"source":{"id":"https://openalex.org/S153467142","display_name":"Journal of Experimental & Theoretical Artificial Intelligence","issn_l":"0952-813X","issn":["0952-813X","1362-3079"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-c","cwts-core","dongbi-c","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Experimental &amp; Theoretical Artificial Intelligence","raw_type":"journal-article"},"volume":null,"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/A5071035935","display_name":"Boris A. Galitsky","orcid":"https://orcid.org/0000-0003-0670-8520","observed_orcids":["https://orcid.org/0000-0003-0670-8520"]},"institutions":[{"id":"https://openalex.org/I1342911587","display_name":"Oracle (United States)","ror":"https://ror.org/006c77m33","country_code":"US","type":"company","lineage":["https://openalex.org/I1342911587"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Boris Galitsky","raw_affiliation_strings":["Oracle Corp., Redwood Shores, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oracle Corp., Redwood Shores, CA, USA","institution_ids":["https://openalex.org/I1342911587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110004623","display_name":"Dmitry Ilvovsky","orcid":"https://orcid.org/0000-0002-5484-372X","observed_orcids":["https://orcid.org/0000-0002-5484-372X"]},"institutions":[{"id":"https://openalex.org/I118501908","display_name":"National Research University Higher School of Economics","ror":"https://ror.org/055f7t516","country_code":"RU","type":"education","lineage":["https://openalex.org/I118501908"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Dmitry Ilvovsky","raw_affiliation_strings":["National Research University Higher School of Economics, Moscow, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research University Higher School of Economics, Moscow, Russia","institution_ids":["https://openalex.org/I118501908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004960011","display_name":"Sergei O. Kuznetsov","orcid":"https://orcid.org/0000-0003-3284-9001","observed_orcids":["https://orcid.org/0000-0003-3284-9001"]},"institutions":[{"id":"https://openalex.org/I118501908","display_name":"National Research University Higher School of Economics","ror":"https://ror.org/055f7t516","country_code":"RU","type":"education","lineage":["https://openalex.org/I118501908"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Sergey O. Kuznetsov","raw_affiliation_strings":["National Research University Higher School of Economics, Moscow, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research University Higher School of Economics, Moscow, Russia","institution_ids":["https://openalex.org/I118501908"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071035935"],"corresponding_institution_ids":["https://openalex.org/I1342911587"],"apc_list":null,"apc_paid":null,"fwci":29.1435,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.99372156,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12119","display_name":"Linguistics and Discourse Analysis","score":0.6542999744415283,"subfield":{"id":"https://openalex.org/subfields/1211","display_name":"Philosophy"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12119","display_name":"Linguistics and Discourse Analysis","score":0.6542999744415283,"subfield":{"id":"https://openalex.org/subfields/1211","display_name":"Philosophy"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.16419999301433563,"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":0.038600001484155655,"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/argument-mining","display_name":"argument mining","score":0.9710000157356262},{"id":"https://openalex.org/keywords/logical-argumentation","display_name":"logical argumentation","score":0.7799999713897705},{"id":"https://openalex.org/keywords/discourse-trees","display_name":"discourse trees","score":0.7699999809265137},{"id":"https://openalex.org/keywords/discourse-relations","display_name":"discourse relations","score":0.7260000109672546},{"id":"https://openalex.org/keywords/theory-of-communicative-action","display_name":"communicative action","score":0.7689999938011169},{"id":"https://openalex.org/keywords/text-classification","display_name":"text classification","score":0.7139999866485596},{"id":"https://openalex.org/keywords/discourse-features","display_name":"discourse features","score":0.625},{"id":"https://openalex.org/keywords/syntactic-features","display_name":"syntactic features","score":0.9160000085830688}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7948240041732788},{"id":"https://openalex.org/C65059942","wikidata":"https://www.wikidata.org/wiki/Q270105","display_name":"Argumentation theory","level":2,"score":0.7785980105400085},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5591461658477783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.558626115322113},{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.5035526156425476},{"id":"https://openalex.org/C1370556","wikidata":"https://www.wikidata.org/wiki/Q81009","display_name":"Rhetoric","level":2,"score":0.4936772286891937},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4781452417373657},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.468959242105484},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4309954345226288},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41120830178260803},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.09445050358772278},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/0952813x.2018.1467492","doi":"https://doi.org/10.1080/0952813x.2018.1467492","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0952813x.2018.1467492","pdf_url":null,"source":{"id":"https://openalex.org/S153467142","display_name":"Journal of Experimental & Theoretical Artificial Intelligence","issn_l":"0952-813X","issn":["0952-813X","1362-3079"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-c","cwts-core","dongbi-c","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Experimental &amp; Theoretical Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality education","score":0.699999988079071}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":94,"referenced_works":["https://openalex.org/W108600807","https://openalex.org/W112560872","https://openalex.org/W260041683","https://openalex.org/W384493345","https://openalex.org/W581684831","https://openalex.org/W1502957213","https://openalex.org/W1524559248","https://openalex.org/W1560067161","https://openalex.org/W1563792215","https://openalex.org/W1669238674","https://openalex.org/W1894075015","https://openalex.org/W1975303601","https://openalex.org/W1977155386","https://openalex.org/W2006585958","https://openalex.org/W2026413753","https://openalex.org/W2031248101","https://openalex.org/W2037256905","https://openalex.org/W2039020269","https://openalex.org/W2039630958","https://openalex.org/W2043126905","https://openalex.org/W2044599851","https://openalex.org/W2045738181","https://openalex.org/W2064587498","https://openalex.org/W2065381652","https://openalex.org/W2066288042","https://openalex.org/W2070613637","https://openalex.org/W2076033388","https://openalex.org/W2093239026","https://openalex.org/W2098420572","https://openalex.org/W2104126268","https://openalex.org/W2111535382","https://openalex.org/W2112178080","https://openalex.org/W2114524997","https://openalex.org/W2116512345","https://openalex.org/W2119707623","https://openalex.org/W2129213188","https://openalex.org/W2129264276","https://openalex.org/W2131861279","https://openalex.org/W2133990480","https://openalex.org/W2140127231","https://openalex.org/W2144232471","https://openalex.org/W2153579005","https://openalex.org/W2166957049","https://openalex.org/W2168240343","https://openalex.org/W2170571488","https://openalex.org/W2184485515","https://openalex.org/W2250309026","https://openalex.org/W2250590854","https://openalex.org/W2251060708","https://openalex.org/W2251211118","https://openalex.org/W2251314334","https://openalex.org/W2251520281","https://openalex.org/W2251521080","https://openalex.org/W2251620509","https://openalex.org/W2251625298","https://openalex.org/W2251663606","https://openalex.org/W2251939518","https://openalex.org/W2252037756","https://openalex.org/W2252105888","https://openalex.org/W2252267789","https://openalex.org/W2258352782","https://openalex.org/W2285453998","https://openalex.org/W2335080881","https://openalex.org/W2396903734","https://openalex.org/W2404767024","https://openalex.org/W2461568539","https://openalex.org/W2466321326","https://openalex.org/W2516916351","https://openalex.org/W2528215069","https://openalex.org/W2592549418","https://openalex.org/W2604272474","https://openalex.org/W2606092111","https://openalex.org/W2733628661","https://openalex.org/W2734576500","https://openalex.org/W2740760908","https://openalex.org/W2772888760","https://openalex.org/W2775859715","https://openalex.org/W2783513277","https://openalex.org/W2790435797","https://openalex.org/W2912018209","https://openalex.org/W2912804155","https://openalex.org/W2913276748","https://openalex.org/W2930957955","https://openalex.org/W4206070857","https://openalex.org/W4230272836","https://openalex.org/W4230872509","https://openalex.org/W4231043689","https://openalex.org/W4235073904","https://openalex.org/W4237028743","https://openalex.org/W4245752967","https://openalex.org/W4253817793","https://openalex.org/W4255318870","https://openalex.org/W4316093224","https://openalex.org/W4366658060"],"related_works":["https://openalex.org/W4322096469","https://openalex.org/W2970717148","https://openalex.org/W7098121431","https://openalex.org/W4313161949","https://openalex.org/W2252164999","https://openalex.org/W2397774369","https://openalex.org/W2753292419","https://openalex.org/W7097452384","https://openalex.org/W3046553216","https://openalex.org/W3090450025"],"abstract_inverted_index":{"We":[0],"solve":[1],"the":[2,71,80,93],"argument":[3],"mining":[4],"problem":[5,62],"by":[6],"investigating":[7],"discourse":[8,20,29,103,116,119],"and":[9,79,102,117],"communicative":[10,19,43,118],"text":[11,55,120],"structure.":[12],"A":[13],"new":[14],"formal":[15],"graph-based":[16],"structure":[17],"called":[18],"tree":[21,30],"(CDT)":[22],"is":[23,63,96,128,135],"defined.":[24],"It":[25],"consists":[26],"of":[27,125],"a":[28,54,66,123,132],"with":[31,77,86,107,122],"additional":[32],"labels":[33],"on":[34,49,99,114,131],"edges,":[35],"which":[36,100],"stand":[37],"for":[38,92],"verbs.":[39],"These":[40],"verbs":[41],"represent":[42],"actions.":[44],"Discourse":[45],"trees":[46],"are":[47,105],"based":[48,113],"rhetoric":[50],"relations,":[51],"extracted":[52],"from":[53],"according":[56],"to":[57,75,84],"Rhetoric":[58],"Structure":[59],"Theory.":[60],"The":[61,89],"tackled":[64],"as":[65],"binary":[67],"classification":[68,94,111],"task,":[69],"where":[70],"positive":[72],"class":[73,82],"corresponds":[74,83],"texts":[76,85],"arguments":[78],"negative":[81],"no":[87],"arguments.":[88],"feature":[90],"engineering":[91],"task":[95],"conducted,":[97],"deciding":[98],"syntactic":[101],"features":[104],"associated":[106],"logical":[108],"argumentation.":[109],"Text":[110],"framework":[112],"syntactic,":[115],"structures":[121],"number":[124],"learning":[126],"approaches":[127],"implemented.":[129],"Evaluation":[130],"combined":[133],"data-set":[134],"provided.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":1}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2018-06-01T00:00:00"}
