{"id":"https://openalex.org/W3156100608","doi":"https://doi.org/10.1515/itit-2020-0054","title":"A multi-task approach to argument frame classification at variable granularity levels","display_name":"A multi-task approach to argument frame classification at variable granularity levels","publication_year":2021,"publication_date":"2021-02-01","ids":{"openalex":"https://openalex.org/W3156100608","doi":"https://doi.org/10.1515/itit-2020-0054","mag":"3156100608"},"language":"en","primary_location":{"id":"doi:10.1515/itit-2020-0054","is_oa":true,"landing_page_url":"https://doi.org/10.1515/itit-2020-0054","pdf_url":"https://www.degruyter.com/document/doi/10.1515/itit-2020-0054/pdf","source":{"id":"https://openalex.org/S4210229153","display_name":"it - Information Technology","issn_l":"1611-2776","issn":["1611-2776","2196-7032"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319967","host_organization_name":"R. Oldenbourg Verlag","host_organization_lineage":["https://openalex.org/P4310319967"],"host_organization_lineage_names":["R. Oldenbourg Verlag"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"it - Information Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.degruyter.com/document/doi/10.1515/itit-2020-0054/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013475060","display_name":"Philipp Heinisch","orcid":"https://orcid.org/0009-0002-8079-5570"},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Philipp Heinisch","raw_affiliation_strings":["Universit\u00e4t Bielefeld , Postfach 10 01 31 , Bielefeld , Germany"],"affiliations":[{"raw_affiliation_string":"Universit\u00e4t Bielefeld , Postfach 10 01 31 , Bielefeld , Germany","institution_ids":["https://openalex.org/I20121455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056086147","display_name":"Philipp Cimiano","orcid":"https://orcid.org/0000-0002-4771-441X"},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Philipp Cimiano","raw_affiliation_strings":["Universit\u00e4t Bielefeld , Postfach 10 01 31 , Bielefeld , Germany"],"affiliations":[{"raw_affiliation_string":"Universit\u00e4t Bielefeld , Postfach 10 01 31 , Bielefeld , Germany","institution_ids":["https://openalex.org/I20121455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013475060"],"corresponding_institution_ids":["https://openalex.org/I20121455"],"apc_list":null,"apc_paid":null,"fwci":0.9794,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80202797,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"63","issue":"1","first_page":"59","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9980000257492065,"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":0.9980000257492065,"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/T10260","display_name":"Software Engineering Research","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9916999936103821,"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/argumentation-theory","display_name":"Argumentation theory","score":0.7417722940444946},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6904447078704834},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6882926821708679},{"id":"https://openalex.org/keywords/argument","display_name":"Argument (complex analysis)","score":0.6326993703842163},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.574268639087677},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.5619337558746338},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5574686527252197},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5416664481163025},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4605855345726013},{"id":"https://openalex.org/keywords/framing","display_name":"Framing (construction)","score":0.44925931096076965},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4215785562992096},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.41179561614990234},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.172098308801651},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.08939415216445923}],"concepts":[{"id":"https://openalex.org/C65059942","wikidata":"https://www.wikidata.org/wiki/Q270105","display_name":"Argumentation theory","level":2,"score":0.7417722940444946},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6904447078704834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6882926821708679},{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.6326993703842163},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.574268639087677},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.5619337558746338},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5574686527252197},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5416664481163025},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4605855345726013},{"id":"https://openalex.org/C169087156","wikidata":"https://www.wikidata.org/wiki/Q2131593","display_name":"Framing (construction)","level":2,"score":0.44925931096076965},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4215785562992096},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.41179561614990234},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.172098308801651},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.08939415216445923},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1515/itit-2020-0054","is_oa":true,"landing_page_url":"https://doi.org/10.1515/itit-2020-0054","pdf_url":"https://www.degruyter.com/document/doi/10.1515/itit-2020-0054/pdf","source":{"id":"https://openalex.org/S4210229153","display_name":"it - Information Technology","issn_l":"1611-2776","issn":["1611-2776","2196-7032"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319967","host_organization_name":"R. Oldenbourg Verlag","host_organization_lineage":["https://openalex.org/P4310319967"],"host_organization_lineage_names":["R. Oldenbourg Verlag"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"it - Information Technology","raw_type":"journal-article"},{"id":"pmh:oai:pub.uni-bielefeld.de:2960180","is_oa":false,"landing_page_url":"https://pub.uni-bielefeld.de/record/2960180","pdf_url":null,"source":{"id":"https://openalex.org/S4306401670","display_name":"PUB \u2013 Publications at Bielefeld University (Bielefeld University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20121455","host_organization_name":"Bielefeld University","host_organization_lineage":["https://openalex.org/I20121455"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"http://purl.org/coar/resource_type/c_6501"}],"best_oa_location":{"id":"doi:10.1515/itit-2020-0054","is_oa":true,"landing_page_url":"https://doi.org/10.1515/itit-2020-0054","pdf_url":"https://www.degruyter.com/document/doi/10.1515/itit-2020-0054/pdf","source":{"id":"https://openalex.org/S4210229153","display_name":"it - Information Technology","issn_l":"1611-2776","issn":["1611-2776","2196-7032"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319967","host_organization_name":"R. Oldenbourg Verlag","host_organization_lineage":["https://openalex.org/P4310319967"],"host_organization_lineage_names":["R. Oldenbourg Verlag"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"it - Information Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3156100608.pdf","grobid_xml":"https://content.openalex.org/works/W3156100608.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W582883670","https://openalex.org/W658020064","https://openalex.org/W1520648990","https://openalex.org/W1536494821","https://openalex.org/W1855679610","https://openalex.org/W2001442493","https://openalex.org/W2002586964","https://openalex.org/W2039551283","https://openalex.org/W2064675550","https://openalex.org/W2089363775","https://openalex.org/W2156876426","https://openalex.org/W2172140247","https://openalex.org/W2250397934","https://openalex.org/W2250539671","https://openalex.org/W2251324968","https://openalex.org/W2251617662","https://openalex.org/W2407277018","https://openalex.org/W2557475746","https://openalex.org/W2624871570","https://openalex.org/W2741941417","https://openalex.org/W2758824081","https://openalex.org/W2772421893","https://openalex.org/W2807405475","https://openalex.org/W2810913254","https://openalex.org/W2842153692","https://openalex.org/W2889078912","https://openalex.org/W2896457183","https://openalex.org/W2947595593","https://openalex.org/W2963341956","https://openalex.org/W2963983343","https://openalex.org/W2964199361","https://openalex.org/W2970687895","https://openalex.org/W3020589325","https://openalex.org/W3038117390","https://openalex.org/W3044300286","https://openalex.org/W3098369808","https://openalex.org/W3167274464","https://openalex.org/W4249109458"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W2623427976","https://openalex.org/W3200179079","https://openalex.org/W4249229055","https://openalex.org/W2556319748","https://openalex.org/W2093059209","https://openalex.org/W2512018286","https://openalex.org/W2386528928","https://openalex.org/W3158264953","https://openalex.org/W4310989423"],"abstract_inverted_index":{"Abstract":[0],"Within":[1],"the":[2,13,22,29,43,86,167,177,180,191,220,233,236,239,250],"field":[3],"of":[4,15,24,53,67,82,85,88,149,155,182,187,206,208],"argument":[5,30,172],"mining,":[6],"an":[7,16,128,171],"important":[8],"task":[9],"consists":[10],"in":[11,64,80,111,211],"predicting":[12,166],"frame":[14,163,168,194],"argument,":[17],"that":[18,28,56,91,170,218,228],"is,":[19],"making":[20],"explicit":[21],"aspects":[23],"a":[25,143,152,212,216],"controversial":[26],"discussion":[27,89],"emphasizes":[31],"and":[32,102,119,134,141,165,249],"which":[33],"narrative":[34],"it":[35],"constructs.":[36],"Many":[37],"approaches":[38,95],"so":[39],"far":[40],"have":[41,57,96],"adopted":[42],"framing":[44],"classification":[45,234,242],"proposed":[46,97],"by":[47,107,157,243,253],"Boydstun":[48],"et":[49],"al.":[50],"[3],":[51],"consisting":[52],"15":[54],"categories":[55,77,201],"been":[58],"mainly":[59],"designed":[60],"to":[61,72,98,130,146,198,245,255],"capture":[62],"frames":[63,105,140,148,183,200,241],"media":[65,199,240],"coverage":[66,84],"political":[68],"articles.":[69],"In":[70],"addition":[71],"being":[73],"quite":[74],"coarse-grained,":[75],"these":[76],"are":[78,116],"limited":[79],"terms":[81],"their":[83],"breadth":[87],"topics":[90],"people":[92],"debate.":[93],"Other":[94],"rely":[99],"on":[100,235],"issue-specific":[101,135],"subjective":[103],"(argumentation)":[104],"indicated":[106],"users":[108],"via":[109],"labels":[110,115,161],"debating":[112],"portals.":[113],"These":[114],"overly":[117],"specific":[118],"do":[120],"often":[121],"not":[122],"generalize":[123],"across":[124],"topics.":[125],"We":[126,174,189],"present":[127],"approach":[129,145,178],"bridge":[131],"between":[132],"coarse-grained":[133],"inventories":[136],"for":[137,184],"classifying":[138,147],"argumentation":[139],"propose":[142],"supervised":[144],"arguments":[150],"at":[151],"variable":[153],"level":[154],"granularity":[156],"clustering":[158],"issue-specific,":[159],"user-provided":[160,209],"into":[162],"clusters":[164,207],"cluster":[169,251],"evokes.":[173],"demonstrate":[175],"how":[176],"supports":[179],"prediction":[181,195,205,252],"varying":[185],"numbers":[186],"clusters.":[188],"combine":[190],"two":[192,221],"tasks,":[193,238],"with":[196],"respect":[197],"as":[202,204],"well":[203],"labels,":[210],"multi-task":[213,230],"setting,":[214],"learning":[215],"classifier":[217],"performs":[219],"tasks.":[222],"As":[223],"main":[224],"result,":[225],"we":[226],"show":[227],"this":[229],"setting":[231],"improves":[232],"single":[237],"up":[244,254],"+9.9":[246],"%":[247,257],"accuracy":[248],"+8":[256],"accuracy.":[258]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}