{"id":"https://openalex.org/W4402671429","doi":"https://doi.org/10.18653/v1/2024.argmining-1.14","title":"Overview of PerpectiveArg2024 The First Shared Task on Perspective Argument Retrieval","display_name":"Overview of PerpectiveArg2024 The First Shared Task on Perspective Argument Retrieval","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402671429","doi":"https://doi.org/10.18653/v1/2024.argmining-1.14"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2024.argmining-1.14","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.argmining-1.14","pdf_url":"https://aclanthology.org/2024.argmining-1.14.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 11th Workshop on Argument Mining (ArgMining 2024)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2024.argmining-1.14.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045694085","display_name":"Neele Falk","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Neele Falk","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085003328","display_name":"Andreas Waldis","orcid":"https://orcid.org/0000-0002-2772-5701"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andreas Waldis","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5027450194","display_name":"Iryna Gurevych","orcid":"https://orcid.org/0000-0003-2187-7621"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Iryna Gurevych","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7112,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70574935,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"130","last_page":"149"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9261000156402588,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9261000156402588,"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/perspective","display_name":"Perspective (graphical)","score":0.7708462476730347},{"id":"https://openalex.org/keywords/argument","display_name":"Argument (complex analysis)","score":0.7411666512489319},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7056267857551575},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6074662208557129},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2544471025466919},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10229948163032532}],"concepts":[{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.7708462476730347},{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.7411666512489319},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7056267857551575},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6074662208557129},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2544471025466919},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10229948163032532},{"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},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/2024.argmining-1.14","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.argmining-1.14","pdf_url":"https://aclanthology.org/2024.argmining-1.14.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 11th Workshop on Argument Mining (ArgMining 2024)","raw_type":"proceedings-article"},{"id":"pmh:oai:tubiblio.ulb.tu-darmstadt.de:150237","is_oa":false,"landing_page_url":"http://tubiblio.ulb.tu-darmstadt.de/view/person/Falk=3ANeele=3A=3A.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4377196390","display_name":"TUbilio (Technical University of Darmstadt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I31512782","host_organization_name":"Technische Universit\u00e4t Darmstadt","host_organization_lineage":["https://openalex.org/I31512782"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Konferenzver\u00f6ffentlichung"}],"best_oa_location":{"id":"doi:10.18653/v1/2024.argmining-1.14","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.argmining-1.14","pdf_url":"https://aclanthology.org/2024.argmining-1.14.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 11th Workshop on Argument Mining (ArgMining 2024)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"},{"id":"https://openalex.org/F4320321942","display_name":"Hasler Stiftung","ror":"https://ror.org/04m3t9183"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402671429.pdf","grobid_xml":"https://content.openalex.org/works/W4402671429.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W3008380943","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2115206405","https://openalex.org/W2149537132","https://openalex.org/W2376932109","https://openalex.org/W2018871932"],"abstract_inverted_index":{"Argument":[0],"retrieval":[1,32,75,131,160],"is":[2,156],"the":[3,18,101,104,122,138,146],"task":[4,28,98],"of":[5,21,95,103,124],"finding":[6],"relevant":[7],"arguments":[8,125],"for":[9,38,117,145],"a":[10,44],"given":[11],"query.While":[12],"existing":[13],"approaches":[14],"rely":[15],"solely":[16,120],"on":[17,29,121],"semantic":[19],"alignment":[20],"queries":[22],"and":[23,50,58,63,82,84,99,165],"arguments,":[24],"this":[25,96],"first":[26],"shared":[27,97],"perspective":[30,151],"argument":[31,152],"incorporates":[33],"perspectives":[34],"during":[35],"retrieval,":[36,153],"accounting":[37],"latent":[39],"influences":[40],"in":[41,66,87,111],"argumentation.We":[42],"present":[43],"novel":[45],"multilingual":[46],"dataset":[47],"covering":[48],"demographic":[49],"socio-cultural":[51],"(socio)":[52],"variables,":[53],"such":[54],"as":[55],"age,":[56],"gender,":[57],"political":[59],"attitude,":[60],"representing":[61],"minority":[62],"majority":[64,139],"groups":[65],"society.We":[67],"distinguish":[68],"between":[69],"three":[70],"scenarios":[71],"to":[72,134,158,162],"explore":[73],"how":[74],"systems":[76,132,161],"consider":[77],"explicitly":[78,127],"(in":[79],"both":[80],"query":[81],"corpus)":[83],"implicitly":[85],"(only":[86],"query)":[88],"formulated":[89],"perspectives.This":[90],"paper":[91],"provides":[92],"an":[93],"overview":[94],"summarizes":[100],"results":[102],"six":[105],"submitted":[106],"systems.We":[107],"find":[108],"substantial":[109],"challenges":[110],"incorporating":[112],"perspectivism,":[113],"especially":[114],"when":[115],"aiming":[116],"personalization":[118,164],"based":[119],"text":[123],"without":[126],"providing":[128],"socio":[129],"profiles.Moreover,":[130],"tend":[133],"be":[135],"biased":[136],"towards":[137],"group":[140],"but":[141],"partially":[142],"mitigate":[143],"bias":[144],"female":[147],"gender.While":[148],"we":[149],"bootstrap":[150],"further":[154],"research":[155],"essential":[157],"optimize":[159],"facilitate":[163],"reduce":[166],"polarization.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}