{"id":"https://openalex.org/W2949360559","doi":"https://doi.org/10.18653/v1/p19-1634","title":"Bias Analysis and Mitigation in the Evaluation of Authorship Verification","display_name":"Bias Analysis and Mitigation in the Evaluation of Authorship Verification","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2949360559","doi":"https://doi.org/10.18653/v1/p19-1634","mag":"2949360559"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1634","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1634","pdf_url":null,"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":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.18653/v1/p19-1634","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079524270","display_name":"Janek Bevendorff","orcid":"https://orcid.org/0000-0002-3797-0559"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Janek Bevendorff","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014322854","display_name":"Matthias Hagen","orcid":"https://orcid.org/0000-0002-9733-2890"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matthias Hagen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027915931","display_name":"Benno Stein","orcid":"https://orcid.org/0000-0001-9033-2217"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Benno Stein","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5083712311","display_name":"Martin Potthast","orcid":"https://orcid.org/0000-0003-2451-0665"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Martin Potthast","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5079524270"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6013,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.92093084,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"6301","last_page":"6306"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.9998999834060669,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9998999834060669,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9947999715805054,"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/T10028","display_name":"Topic Modeling","score":0.992900013923645,"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/benchmarking","display_name":"Benchmarking","score":0.8121604919433594},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7838501930236816},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6103090047836304},{"id":"https://openalex.org/keywords/countermeasure","display_name":"Countermeasure","score":0.5715277194976807},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.541946291923523},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.49982309341430664},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4895404279232025},{"id":"https://openalex.org/keywords/digital-forensics","display_name":"Digital forensics","score":0.44661635160446167},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.42860308289527893},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.3203441798686981},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.22644704580307007},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.14068570733070374},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10672292113304138},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.0705043375492096}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8121604919433594},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7838501930236816},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6103090047836304},{"id":"https://openalex.org/C21593369","wikidata":"https://www.wikidata.org/wiki/Q1032176","display_name":"Countermeasure","level":2,"score":0.5715277194976807},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.541946291923523},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.49982309341430664},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4895404279232025},{"id":"https://openalex.org/C84418412","wikidata":"https://www.wikidata.org/wiki/Q3246940","display_name":"Digital forensics","level":2,"score":0.44661635160446167},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.42860308289527893},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3203441798686981},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.22644704580307007},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.14068570733070374},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10672292113304138},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0705043375492096},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p19-1634","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1634","pdf_url":null,"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/p19-1634","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1634","pdf_url":null,"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":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1826391810","https://openalex.org/W2065218635","https://openalex.org/W2072828027","https://openalex.org/W2132781244","https://openalex.org/W2187238335","https://openalex.org/W2188586710","https://openalex.org/W2238263169","https://openalex.org/W2292665776","https://openalex.org/W2344487939","https://openalex.org/W2344989487","https://openalex.org/W2349874048","https://openalex.org/W2394650926","https://openalex.org/W2397217828","https://openalex.org/W2405392536","https://openalex.org/W2417131009","https://openalex.org/W2621340964","https://openalex.org/W2915304535","https://openalex.org/W2915998928","https://openalex.org/W2946034758","https://openalex.org/W2955901475","https://openalex.org/W2969044820","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2011676020","https://openalex.org/W2000169967"],"abstract_inverted_index":{"The":[0],"PAN":[1,25],"series":[2],"of":[3,19,61,104],"shared":[4],"tasks":[5],"is":[6,89],"well":[7],"known":[8],"for":[9,67],"its":[10],"continuous":[11],"and":[12,32,42,48,82,100,118],"high":[13],"quality":[14],"research":[15],"in":[16,114],"the":[17,44,51,59,62,94,115],"field":[18],"digital":[20],"text":[21],"forensics.":[22],"Among":[23],"others,":[24],"contributions":[26],"include":[27],"original":[28],"corpora,":[29],"tailored":[30],"benchmarks,":[31],"standardized":[33],"experimentation":[34],"platforms.":[35],"In":[36,75],"this":[37,76],"paper":[38],"we":[39,78],"review,":[40],"theoretically":[41],"practically,":[43],"authorship":[45,86,122],"verification":[46],"task":[47],"conclude":[49],"that":[50,88,101,106],"underlying":[52],"experiment":[53],"design":[54],"cannot":[55],"guarantee":[56],"pushing":[57],"forward":[58],"state":[60],"art\u2014in":[63],"fact,":[64],"it":[65],"allows":[66],"top":[68],"benchmarking":[69],"with":[70,93],"a":[71,80,91,120],"surprisingly":[72],"straightforward":[73],"approach.":[74],"regard,":[77],"present":[79,119],"\"Basic":[81],"Fairly":[83],"Flawed\"":[84],"(BAFF)":[85],"verifier":[87],"on":[90],"par":[92],"best":[95],"approaches":[96],"submitted":[97],"so":[98],"far,":[99],"illustrates":[102],"sources":[103,113],"bias":[105],"should":[107],"be":[108],"eliminated.":[109],"We":[110],"pinpoint":[111],"these":[112],"evaluation":[116],"chain":[117],"refined":[121],"corpus":[123],"as":[124],"effective":[125],"countermeasure.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}