{"id":"https://openalex.org/W2949928613","doi":"https://doi.org/10.18653/v1/p19-1463","title":"Yes, we can! Mining Arguments in 50 Years of US Presidential Campaign Debates","display_name":"Yes, we can! Mining Arguments in 50 Years of US Presidential Campaign Debates","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2949928613","doi":"https://doi.org/10.18653/v1/p19-1463","mag":"2949928613"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1463","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1463","pdf_url":"https://www.aclweb.org/anthology/P19-1463.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-1463.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036957832","display_name":"Shohreh Haddadan","orcid":null},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Shohreh Haddadan","raw_affiliation_strings":["uni.lu - Universit\u00e9 du Luxembourg = University of Luxembourg = Universit\u00e4t Luxemburg (Universit\u00e9 du Luxembourg [Si\u00e8ge] \u2013 2, place de l\u2019Universit\u00e9 \u2013 L-4365 Esch-sur-Alzette \u2013 Luxembourg - Luxembourg)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"uni.lu - Universit\u00e9 du Luxembourg = University of Luxembourg = Universit\u00e4t Luxemburg (Universit\u00e9 du Luxembourg [Si\u00e8ge] \u2013 2, place de l\u2019Universit\u00e9 \u2013 L-4365 Esch-sur-Alzette \u2013 Luxembourg - Luxembourg)","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049137879","display_name":"Elena Cabrio","orcid":"https://orcid.org/0000-0001-9374-7872"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Elena Cabrio","raw_affiliation_strings":["WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics (France)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016281730","display_name":"Serena Villata","orcid":"https://orcid.org/0000-0003-3495-493X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Serena Villata","raw_affiliation_strings":["WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics (France)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5308,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.87694652,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"4684","last_page":"4690"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9907000064849854,"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":0.9907000064849854,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9902999997138977,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9854999780654907,"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":0.9157471656799316},{"id":"https://openalex.org/keywords/argument","display_name":"Argument (complex analysis)","score":0.8818739652633667},{"id":"https://openalex.org/keywords/typology","display_name":"Typology","score":0.7182459831237793},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.6593822240829468},{"id":"https://openalex.org/keywords/presidential-system","display_name":"Presidential system","score":0.5736478567123413},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5504549145698547},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.47606250643730164},{"id":"https://openalex.org/keywords/presidential-campaign","display_name":"Presidential campaign","score":0.47135892510414124},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.4582289159297943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4433627128601074},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.43750500679016113},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42802560329437256},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.38928985595703125},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.32738223671913147},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.19817644357681274},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.17355957627296448},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09458547830581665}],"concepts":[{"id":"https://openalex.org/C2781306805","wikidata":"https://www.wikidata.org/wiki/Q4789761","display_name":"Argumentative","level":2,"score":0.9157471656799316},{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.8818739652633667},{"id":"https://openalex.org/C75795011","wikidata":"https://www.wikidata.org/wiki/Q917904","display_name":"Typology","level":2,"score":0.7182459831237793},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.6593822240829468},{"id":"https://openalex.org/C197487636","wikidata":"https://www.wikidata.org/wiki/Q49892","display_name":"Presidential system","level":3,"score":0.5736478567123413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5504549145698547},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.47606250643730164},{"id":"https://openalex.org/C2994056279","wikidata":"https://www.wikidata.org/wiki/Q847301","display_name":"Presidential campaign","level":4,"score":0.47135892510414124},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.4582289159297943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4433627128601074},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.43750500679016113},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42802560329437256},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38928985595703125},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.32738223671913147},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.19817644357681274},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.17355957627296448},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09458547830581665},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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},{"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:10.18653/v1/p19-1463","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1463","pdf_url":"https://www.aclweb.org/anthology/P19-1463.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-1463","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1463","pdf_url":"https://www.aclweb.org/anthology/P19-1463.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2949928613.pdf"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W8550301","https://openalex.org/W158723201","https://openalex.org/W1990297162","https://openalex.org/W2064675550","https://openalex.org/W2094909776","https://openalex.org/W2120587524","https://openalex.org/W2242020196","https://openalex.org/W2343649478","https://openalex.org/W2472206335","https://openalex.org/W2575669350","https://openalex.org/W2807828381","https://openalex.org/W2842153692","https://openalex.org/W2911433384","https://openalex.org/W2962768347","https://openalex.org/W3105663928"],"related_works":["https://openalex.org/W2965892119","https://openalex.org/W3189036019","https://openalex.org/W2750098082","https://openalex.org/W2092443239","https://openalex.org/W1971704138","https://openalex.org/W1530462862","https://openalex.org/W1984467250","https://openalex.org/W26798849","https://openalex.org/W2108086933","https://openalex.org/W2368620611"],"abstract_inverted_index":{"Political":[0],"debates":[1,72],"offer":[2],"a":[3,24,83],"rare":[4],"opportunity":[5],"for":[6,28],"citizens":[7],"to":[8,57,149],"compare":[9],"the":[10,14,19,39,74,102,138,143,150],"candidates'":[11],"positions":[12],"on":[13],"most":[15],"controversial":[16],"topics":[17],"of":[18,38,41,78,86],"campaign.":[20],"Thus":[21],"they":[22],"represent":[23],"natural":[25],"application":[26],"scenario":[27],"Argument":[29,54,130],"Mining.":[30],"As":[31],"existing":[32],"research":[33,151],"lacks":[34],"solid":[35],"empirical":[36,66],"investigation":[37],"typology":[40],"argument":[42,88],"components":[43,104],"in":[44,64,105,129],"political":[45,58,71],"debates,":[46,107],"we":[47],"fill":[48],"this":[49,62],"gap":[50],"by":[51,68],"proposing":[52],"an":[53,65],"Mining":[55,131],"approach":[56],"debates.":[59],"We":[60,95,116,136],"address":[61],"task":[63],"manner":[67],"annotating":[69],"39":[70],"from":[73],"last":[75],"50":[76],"years":[77],"US":[79],"presidential":[80],"campaigns,":[81],"creating":[82],"new":[84,139],"corpus":[85,140],"29k":[87],"components,":[89],"labeled":[90],"as":[91,112],"premises":[92,113],"and":[93,108,114,122,142],"claims.":[94,115],"then":[96],"propose":[97],"two":[98],"tasks:":[99],"(1)":[100],"identifying":[101],"argumentative":[103],"such":[106,133],"(2)":[109],"classifying":[110],"them":[111],"show":[117],"that":[118],"feature-rich":[119],"SVM":[120],"learners":[121],"Neural":[123],"Network":[124],"architectures":[125],"outperform":[126],"standard":[127],"baselines":[128],"over":[132],"complex":[134],"data.":[135],"release":[137],"USElecDeb60To16":[141],"accompanying":[144],"software":[145],"under":[146],"free":[147],"licenses":[148],"community.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
