乐胖代购免代理版

{"id":"https://openalex.org/W4389519522","doi":"https://doi.org/10.18653/v1/2023.emnlp-main.822","title":"To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing","display_name":"To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4389519522","doi":"https://doi.org/10.18653/v1/2023.emnlp-main.822"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.emnlp-main.822","pdf_url":"https://aclanthology.org/2023.emnlp-main.822.pdf","source":{"id":"https://openalex.org/S4363608991","display_name":"Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://aclanthology.org/2023.emnlp-main.822.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108855136","display_name":"Sireesh Gururaja","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"funder","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sireesh Gururaja","raw_affiliation_strings":["Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013007353","display_name":"Amanda Bertsch","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"funder","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amanda Bertsch","raw_affiliation_strings":["Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043091430","display_name":"Clara Na","orcid":"https://orcid.org/0000-0001-7027-4208"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"funder","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Clara Na","raw_affiliation_strings":["Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058174921","display_name":"David Gray Widder","orcid":"https://orcid.org/0000-0002-6912-8067"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"funder","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Widder","raw_affiliation_strings":["Digital Life Initiative, Cornell Tech, Cornell University, New York City, NY, USA"],"affiliations":[{"raw_affiliation_string":"Digital Life Initiative, Cornell Tech, Cornell University, New York City, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051203366","display_name":"Emma Strubell","orcid":"https://orcid.org/0000-0003-2798-0726"},"institutions":[{"id":"https://openalex.org/I4210156221","display_name":"Allen Institute for Artificial Intelligence","ror":"https://ror.org/05w520734","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210156221"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"funder","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emma Strubell","raw_affiliation_strings":["Allen Institute for Artificial Intelligence, Seattle, WA, USA","Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Allen Institute for Artificial Intelligence, Seattle, WA, USA","institution_ids":["https://openalex.org/I4210156221"]},{"raw_affiliation_string":"Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.19,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":3,"citation_normalized_percentile":{"value":0.782619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":84,"max":87},"biblio":{"volume":null,"issue":null,"first_page":"13310","last_page":"13325"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9998,"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":0.9997,"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/T10260","display_name":"Software Engineering Research","score":0.9967,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/seniority","display_name":"Seniority","score":0.739002},{"id":"https://openalex.org/keywords/vision","display_name":"Vision","score":0.7045291}],"concepts":[{"id":"https://openalex.org/C2780783599","wikidata":"https://www.wikidata.org/wiki/Q1931779","display_name":"Seniority","level":2,"score":0.739002},{"id":"https://openalex.org/C133979268","wikidata":"https://www.wikidata.org/wiki/Q1682108","display_name":"Vision","level":2,"score":0.7045291},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5837357},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.48829365},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.46211413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46112818},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.43309405},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.42021176},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3875237},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.32742655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3201337},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.24470851},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.23711261},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.15952724},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15227434},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.10758659},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.emnlp-main.822","pdf_url":"https://aclanthology.org/2023.emnlp-main.822.pdf","source":{"id":"https://openalex.org/S4363608991","display_name":"Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.07715","pdf_url":"http://arxiv.org/pdf/2310.07715","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.emnlp-main.822","pdf_url":"https://aclanthology.org/2023.emnlp-main.822.pdf","source":{"id":"https://openalex.org/S4363608991","display_name":"Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.63}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":39,"referenced_works":["https://openalex.org/W1556808170","https://openalex.org/W2064893403","https://openalex.org/W2070504353","https://openalex.org/W2133322356","https://openalex.org/W2164909292","https://openalex.org/W2250539671","https://openalex.org/W2251524730","https://openalex.org/W2577255746","https://openalex.org/W2595715041","https://openalex.org/W2752600643","https://openalex.org/W2763406350","https://openalex.org/W2963341956","https://openalex.org/W2963691697","https://openalex.org/W2964083839","https://openalex.org/W3015453090","https://openalex.org/W3034211723","https://openalex.org/W3036063864","https://openalex.org/W3095809712","https://openalex.org/W3118813946","https://openalex.org/W3168194750","https://openalex.org/W3174220540","https://openalex.org/W3174395303","https://openalex.org/W3177173791","https://openalex.org/W3213111742","https://openalex.org/W41554520","https://openalex.org/W4280523315","https://openalex.org/W4286850188","https://openalex.org/W4295312788","https://openalex.org/W4300896918","https://openalex.org/W4306295041","https://openalex.org/W4380360954","https://openalex.org/W4385245566","https://openalex.org/W4385569664","https://openalex.org/W4385570030","https://openalex.org/W4385571788","https://openalex.org/W4385572774","https://openalex.org/W4385973770","https://openalex.org/W4389141459","https://openalex.org/W4392297945"],"related_works":["https://openalex.org/W4377008908","https://openalex.org/W4288993906","https://openalex.org/W3200232677","https://openalex.org/W2405965961","https://openalex.org/W2332333067","https://openalex.org/W2117786814","https://openalex.org/W2079187076","https://openalex.org/W1989187808","https://openalex.org/W1975110180","https://openalex.org/W1548557026"],"abstract_inverted_index":{"NLP":[0,40,55],"is":[1,9],"in":[2,71,84,103],"a":[3,42],"period":[4],"of":[5,57,97,121,128,138],"disruptive":[6],"change":[7],"that":[8,38,125],"impacting":[10],"our":[11,28,33,129,139],"methodologies,":[12],"funding":[13],"sources,":[14],"and":[15,47,63,87,100,116,132,143],"public":[16],"perception.":[17],"In":[18],"this":[19,92,126],"work,":[20],"we":[21],"seek":[22],"to":[23,26,147],"understand":[24],"how":[25],"shape":[27,39,149],"future":[29,120],"by":[30,49,111],"better":[31],"understanding":[32],"past.":[34],"We":[35,90,109,123],"study":[36,127],"factors":[37],"as":[41,74,76],"field,":[43,73],"including":[44,82],"culture,":[45],"incentives,":[46],"infrastructure":[48],"conducting":[50],"long-form":[51],"interviews":[52],"with":[53,94],"26":[54],"researchers":[56],"varying":[58],"seniority,":[59],"research":[60],"area,":[61],"institution,":[62],"social":[64],"identity.":[65],"Our":[66],"interviewees":[67],"identify":[68],"cyclical":[69],"patterns":[70],"the":[72,104,119,150],"well":[75],"new":[77],"shifts":[78],"without":[79],"historical":[80],"parallel,":[81],"changes":[83],"benchmark":[85],"culture":[86],"software":[88],"infrastructure.":[89],"complement":[91],"discussion":[93,137],"quantitative":[95],"analysis":[96],"citation,":[98],"authorship,":[99],"language":[101],"use":[102],"ACL":[105],"Anthology":[106],"over":[107],"time.":[108],"conclude":[110],"discussing":[112],"shared":[113],"visions,":[114],"concerns,":[115],"hopes":[117],"for":[118],"NLP.":[122],"hope":[124],"field\u2019s":[130],"past":[131],"present":[133],"can":[134],"prompt":[135],"informed":[136],"community\u2019s":[140],"implicit":[141],"norms":[142],"more":[144],"deliberate":[145],"action":[146],"consciously":[148],"future.":[151]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4389519522","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-01-24T05:37:05.469500","created_date":"2023-12-10"}