{"id":"https://openalex.org/W2948275950","doi":"https://doi.org/10.18653/v1/w19-4503","title":"Dissecting Content and Context in Argumentative Relation Analysis","display_name":"Dissecting Content and Context in Argumentative Relation Analysis","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2948275950","doi":"https://doi.org/10.18653/v1/w19-4503","mag":"2948275950"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w19-4503","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-4503","pdf_url":"https://www.aclweb.org/anthology/W19-4503.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th Workshop on Argument Mining","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W19-4503.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010534476","display_name":"Juri Opitz","orcid":null},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Juri Opitz","raw_affiliation_strings":["Heidelberg University"],"affiliations":[{"raw_affiliation_string":"Heidelberg University","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023977688","display_name":"Anette Frank","orcid":"https://orcid.org/0000-0003-4706-9817"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Anette Frank","raw_affiliation_strings":["Heidelberg University"],"affiliations":[{"raw_affiliation_string":"Heidelberg University","institution_ids":["https://openalex.org/I223822909"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5010534476"],"corresponding_institution_ids":["https://openalex.org/I223822909"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0506237,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"34"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9984999895095825,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9886000156402588,"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/argumentative","display_name":"Argumentative","score":0.9816382527351379},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7348212599754333},{"id":"https://openalex.org/keywords/argument","display_name":"Argument (complex analysis)","score":0.7259225249290466},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6735438704490662},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6599875092506409},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6234167218208313},{"id":"https://openalex.org/keywords/paragraph","display_name":"Paragraph","score":0.6085681915283203},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4309222400188446},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.428178071975708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32425421476364136},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.19396370649337769},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1465376317501068},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13655227422714233},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10748600959777832},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08516210317611694}],"concepts":[{"id":"https://openalex.org/C2781306805","wikidata":"https://www.wikidata.org/wiki/Q4789761","display_name":"Argumentative","level":2,"score":0.9816382527351379},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7348212599754333},{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.7259225249290466},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6735438704490662},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6599875092506409},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6234167218208313},{"id":"https://openalex.org/C2777206241","wikidata":"https://www.wikidata.org/wiki/Q194431","display_name":"Paragraph","level":2,"score":0.6085681915283203},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4309222400188446},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.428178071975708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32425421476364136},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.19396370649337769},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1465376317501068},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13655227422714233},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10748600959777832},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08516210317611694},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/w19-4503","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-4503","pdf_url":"https://www.aclweb.org/anthology/W19-4503.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th Workshop on Argument Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1906.03338","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.03338","pdf_url":"https://arxiv.org/pdf/1906.03338","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"mag:2948275950","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1906.03338","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1906.03338","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1906.03338","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.18653/v1/w19-4503","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-4503","pdf_url":"https://www.aclweb.org/anthology/W19-4503.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th Workshop on Argument Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3424576390","display_name":null,"funder_award_id":"GRK 1994","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G481299621","display_name":null,"funder_award_id":"GRK 1994/1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6604464234","display_name":null,"funder_award_id":"SAS-2015","funder_id":"https://openalex.org/F4320334763","funder_display_name":"Leibniz-Gemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320334763","display_name":"Leibniz-Gemeinschaft","ror":"https://ror.org/01n6r0e97"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2948275950.pdf","grobid_xml":"https://content.openalex.org/works/W2948275950.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W19426809","https://openalex.org/W1563792215","https://openalex.org/W1594134707","https://openalex.org/W1977970897","https://openalex.org/W2066288042","https://openalex.org/W2083036001","https://openalex.org/W2123442489","https://openalex.org/W2140721185","https://openalex.org/W2153579005","https://openalex.org/W2250309026","https://openalex.org/W2250539671","https://openalex.org/W2251647857","https://openalex.org/W2251661596","https://openalex.org/W2251931307","https://openalex.org/W2251939518","https://openalex.org/W2327805699","https://openalex.org/W2343649478","https://openalex.org/W2471324264","https://openalex.org/W2513522653","https://openalex.org/W2757268605","https://openalex.org/W2757513300","https://openalex.org/W2759690420","https://openalex.org/W2811473602","https://openalex.org/W2878573333","https://openalex.org/W2890924154","https://openalex.org/W2912804155"],"related_works":["https://openalex.org/W2970333657","https://openalex.org/W2942112682","https://openalex.org/W2251048393","https://openalex.org/W2745399545","https://openalex.org/W242464581","https://openalex.org/W2889218941","https://openalex.org/W2610091188","https://openalex.org/W1924470066","https://openalex.org/W2182685496","https://openalex.org/W2739475243","https://openalex.org/W2184997340","https://openalex.org/W2318175673","https://openalex.org/W2010120829","https://openalex.org/W2289241369","https://openalex.org/W1988413111","https://openalex.org/W2493609834","https://openalex.org/W2620820731","https://openalex.org/W2055271408","https://openalex.org/W2188561462","https://openalex.org/W2480102378"],"abstract_inverted_index":{"When":[0],"assessing":[1],"relations":[2,148],"between":[3],"argumentative":[4,24,108,147],"units":[5,25,109],"(e.g.,":[6],"support":[7],"or":[8,16],"attack),":[9],"computational":[10],"systems":[11],"often":[12],"exploit":[13],"disclosing":[14],"indicators":[15],"markers":[17],"that":[18,42,55,79,84,114,129,139],"are":[19,29,142],"not":[20],"part":[21],"of":[22],"elementary":[23],"(EAUs)":[26],"themselves,":[27],"but":[28],"gained":[30],"from":[31,67,110],"their":[32,68,111],"context":[33,89,112],"(position":[34],"in":[35],"paragraph,":[36],"preceding":[37],"tokens,":[38],"etc.).":[39],"We":[40,77,127],"show":[41,54,128],"this":[43,104],"dependency":[44],"is":[45,94,117,134],"much":[46],"stronger":[47],"than":[48,90],"previously":[49],"assumed.":[50],"In":[51],"fact,":[52],"we":[53,106],"by":[56],"completely":[57],"masking":[58],"the":[59,91,115,130],"EAU":[60],"text":[61],"spans":[62],"and":[63,121,137],"only":[64],"feeding":[65],"information":[66],"context,":[69],"a":[70],"competitive":[71],"system":[72,83,116,133],"may":[73],"function":[74],"even":[75],"better.":[76],"argue":[78,138],"an":[80,124],"argument":[81],"analysis":[82],"relies":[85],"more":[86,135],"on":[87,123],"discourse":[88],"argument's":[92],"content":[93],"unsafe,":[95],"since":[96],"it":[97],"can":[98],"easily":[99],"be":[100],"tricked.":[101],"To":[102],"alleviate":[103],"issue,":[105],"separate":[107],"such":[113,140],"forced":[118],"to":[119],"model":[120],"rely":[122],"EAU's":[125],"content.":[126],"resulting":[131],"classification":[132],"robust,":[136],"models":[141],"better":[143],"suited":[144],"for":[145],"predicting":[146],"across":[149],"documents.":[150]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
