{"id":"https://openalex.org/W2741731586","doi":"https://doi.org/10.18653/v1/p17-5006","title":"Tutorial: Making Better Use of the Crowd","display_name":"Tutorial: Making Better Use of the Crowd","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2741731586","doi":"https://doi.org/10.18653/v1/p17-5006","mag":"2741731586"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p17-5006","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-5006","pdf_url":"https://www.aclweb.org/anthology/P17-5006.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 ACL 2017, Tutorial Abstracts","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P17-5006.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043117896","display_name":"Jennifer Wortman Vaughan","orcid":"https://orcid.org/0000-0002-7807-2018"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Jennifer Wortman Vaughan","raw_affiliation_strings":["Microsoft Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5043117896"],"corresponding_institution_ids":["https://openalex.org/I4210164937"],"apc_list":null,"apc_paid":null,"fwci":0.7837,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.79652552,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"17","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9621999859809875,"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":0.9621999859809875,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6734058260917664},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.32745301723480225}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6734058260917664},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32745301723480225}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p17-5006","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-5006","pdf_url":"https://www.aclweb.org/anthology/P17-5006.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 ACL 2017, Tutorial Abstracts","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p17-5006","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-5006","pdf_url":"https://www.aclweb.org/anthology/P17-5006.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 ACL 2017, Tutorial Abstracts","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2741731586.pdf","grobid_xml":"https://content.openalex.org/works/W2741731586.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2045456578","https://openalex.org/W2076610045","https://openalex.org/W2918883224","https://openalex.org/W3106945349","https://openalex.org/W3204394973","https://openalex.org/W2278205256","https://openalex.org/W1536570095","https://openalex.org/W2883555950","https://openalex.org/W4246426965","https://openalex.org/W2051154247"],"abstract_inverted_index":{"Over":[0],"the":[1,10,39,46,107,113,116,126,136,174,180,209,212,239],"last":[2],"decade,":[3],"crowdsourcing":[4,61,150],"has":[5],"been":[6],"used":[7],"to":[8,15,22,59,72,86,90,120,132,162,189],"harness":[9],"power":[11],"of":[12,41,49,125,135,146,149,183,201,211],"human":[13,202],"computation":[14],"solve":[16,23],"tasks":[17,94],"that":[18,88,151,178],"are":[19],"notoriously":[20],"difficult":[21],"with":[24,106,143,238],"computers":[25],"alone,":[26,196],"such":[27,95],"as":[28,62,96],"determining":[29],"whether":[30],"or":[31,44,98,171],"not":[32],"an":[33],"image":[34],"contains":[35],"a":[36,42,50,63,144],"tree,":[37],"rating":[38],"relevance":[40],"website,":[43],"verifying":[45],"phone":[47],"number":[48],"business.":[51],"The":[52,110],"natural":[53,163],"language":[54,164],"processing":[55,165],"community":[56],"was":[57],"early":[58],"embrace":[60],"tool":[64],"for":[65,236],"quickly":[66],"and":[67,156,166,185,197,227],"inexpensively":[68],"obtaining":[69],"annotated":[70],"data":[71,78,154],"train":[73],"NLP":[74,93],"systems.":[75],"Once":[76],"this":[77,101,138,229],"is":[79,103,119],"collected,":[80],"it":[81],"can":[82],"be":[83],"handed":[84],"off":[85],"algorithms":[87],"learn":[89],"perform":[91],"basic":[92],"translation":[97],"parsing.":[99],"Usually":[100],"handoff":[102],"where":[104],"interaction":[105],"crowd":[108,111],"ends.":[109],"provides":[112],"data,":[114],"but":[115],"ultimate":[117],"goal":[118],"eventually":[121],"take":[122],"humans":[123,184],"out":[124],"loop.":[127],"Are":[128],"there":[129],"better":[130],"ways":[131],"make":[133],"use":[134],"crowd?In":[137],"tutorial,":[139],"I":[140,158,205],"will":[141,159,206],"begin":[142],"showcase":[145],"innovative":[147],"uses":[148],"go":[152],"beyond":[153],"collection":[155],"annotation.":[157],"discuss":[160],"applications":[161],"machine":[167],"learning,":[168],"hybrid":[169],"intelligence":[170],"\u201chuman":[172],"in":[173,187],"loop\u201d":[175],"AI":[176],"systems":[177],"leverage":[179],"complementary":[181],"strengths":[182],"machines":[186],"order":[188],"achieve":[190,195],"more":[191],"than":[192],"either":[193],"could":[194],"large":[198],"scale":[199],"studies":[200],"behavior":[203],"online.":[204],"then":[207],"spend":[208],"majority":[210],"tutorial":[213],"diving":[214],"into":[215],"recent":[216],"research":[217],"aimed":[218],"at":[219],"understanding":[220],"who":[221],"crowdworkers":[222],"are,":[223],"how":[224],"they":[225],"behave,":[226],"what":[228],"should":[230],"teach":[231],"us":[232],"about":[233],"best":[234],"practices":[235],"interacting":[237],"crowd.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-05-07T06:04:25.777469","created_date":"2025-10-10T00:00:00"}
