{"id":"https://openalex.org/W2756774204","doi":"https://doi.org/10.18653/v1/d17-1306","title":"Sequence Effects in Crowdsourced Annotations","display_name":"Sequence Effects in Crowdsourced Annotations","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2756774204","doi":"https://doi.org/10.18653/v1/d17-1306","mag":"2756774204"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d17-1306","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1306","pdf_url":"https://www.aclweb.org/anthology/D17-1306.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 2017 Conference on Empirical Methods in Natural\n          Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D17-1306.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007765266","display_name":"Nitika Mathur","orcid":null},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Nitika Mathur","raw_affiliation_strings":["School of Computing and Information Systems The University of Melbourne Victoria 3010, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Systems The University of Melbourne Victoria 3010, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103085805","display_name":"Timothy Baldwin","orcid":"https://orcid.org/0000-0002-4445-1386"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Timothy Baldwin","raw_affiliation_strings":["School of Computing and Information Systems The University of Melbourne Victoria 3010, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Systems The University of Melbourne Victoria 3010, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078530959","display_name":"Trevor Cohn","orcid":"https://orcid.org/0000-0003-4363-1673"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Trevor Cohn","raw_affiliation_strings":["School of Computing and Information Systems The University of Melbourne Victoria 3010, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Systems The University of Melbourne Victoria 3010, Australia","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007765266"],"corresponding_institution_ids":["https://openalex.org/I165779595"],"apc_list":null,"apc_paid":null,"fwci":1.5049,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.86434417,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2860","last_page":"2865"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.9952999949455261,"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/T10028","display_name":"Topic Modeling","score":0.9933000206947327,"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/annotation","display_name":"Annotation","score":0.8941486477851868},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7920696139335632},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6104081273078918},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5426159501075745},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.5010247230529785},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.4893462061882019},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.48714491724967957},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4775298833847046},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4672546088695526},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46463659405708313},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.43584853410720825},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3311835527420044},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.134148508310318},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08392703533172607}],"concepts":[{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.8941486477851868},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7920696139335632},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6104081273078918},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5426159501075745},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.5010247230529785},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4893462061882019},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.48714491724967957},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4775298833847046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4672546088695526},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46463659405708313},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.43584853410720825},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3311835527420044},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.134148508310318},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08392703533172607},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"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/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d17-1306","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1306","pdf_url":"https://www.aclweb.org/anthology/D17-1306.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 2017 Conference on Empirical Methods in Natural\n          Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d17-1306","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1306","pdf_url":"https://www.aclweb.org/anthology/D17-1306.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 2017 Conference on Empirical Methods in Natural\n          Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2756774204.pdf","grobid_xml":"https://content.openalex.org/works/W2756774204.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W8550301","https://openalex.org/W269557233","https://openalex.org/W994653043","https://openalex.org/W1595637775","https://openalex.org/W1970381522","https://openalex.org/W1999618698","https://openalex.org/W2053061618","https://openalex.org/W2059143966","https://openalex.org/W2069788851","https://openalex.org/W2088911157","https://openalex.org/W2098341227","https://openalex.org/W2127849236","https://openalex.org/W2152311128","https://openalex.org/W2257408573","https://openalex.org/W2260677151","https://openalex.org/W2270190199","https://openalex.org/W2294699749","https://openalex.org/W2295951612","https://openalex.org/W2512924740","https://openalex.org/W4242847335","https://openalex.org/W4248824316","https://openalex.org/W4254341089"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W4286908577","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W4318823662","https://openalex.org/W3207526114"],"abstract_inverted_index":{"Manual":[0],"data":[1],"annotation":[2,12,17],"is":[3],"a":[4,76,113],"vital":[5],"component":[6],"of":[7,15,40,97,100],"NLP":[8],"research.":[9],"When":[10],"designing":[11],"tasks,":[13,74],"properties":[14],"the":[16,25,29,46,56,66,70,82,86],"interface":[18],"can":[19],"lead":[20],"to":[21,53,64,69,85,116],"unintentional":[22],"artefacts":[23],"in":[24],"resulting":[26],"dataset,":[27],"biasing":[28],"evaluation.":[30],"In":[31],"this":[32],"paper,":[33],"we":[34],"explore":[35],"sequence":[36,118],"effects":[37,101],"where":[38],"annotations":[39],"an":[41,54],"item":[42,79,88],"are":[43],"affected":[44],"by":[45],"preceding":[47],"items.":[48],"Having":[49],"assigned":[50],"one":[51],"label":[52,68],"instance,":[55],"annotator":[57],"may":[58,80],"be":[59],"less":[60],"(or":[61],"more)":[62],"likely":[63],"assign":[65],"same":[67],"next.":[71],"During":[72],"rating":[73],"seeing":[75],"low":[77],"quality":[78],"affect":[81],"score":[83],"given":[84],"next":[87],"either":[89],"positively":[90],"or":[91],"negatively.":[92],"We":[93,110],"see":[94],"clear":[95],"evidence":[96],"both":[98],"types":[99],"using":[102],"auto-correlation":[103],"studies":[104],"over":[105],"three":[106],"different":[107],"crowdsourced":[108],"datasets.":[109],"then":[111],"recommend":[112],"simple":[114],"way":[115],"minimise":[117],"effects.":[119]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}