{"id":"https://openalex.org/W2988846051","doi":"https://doi.org/10.18653/v1/d19-5531","title":"Robustness to Capitalization Errors in Named Entity Recognition","display_name":"Robustness to Capitalization Errors in Named Entity Recognition","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2988846051","doi":"https://doi.org/10.18653/v1/d19-5531","mag":"2988846051"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-5531","pdf_url":"https://www.aclweb.org/anthology/D19-5531.pdf","source":null,"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://www.aclweb.org/anthology/D19-5531.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050552820","display_name":"Sravan Bodapati","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sravan Bodapati","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061527181","display_name":"Hyokun Yun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hyokun Yun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5079875307","display_name":"Yaser Al-Onaizan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yaser Al-Onaizan","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.509,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.836753,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"237","last_page":"242"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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/T10028","display_name":"Topic Modeling","score":1.0,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9995,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9849,"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/robustness","display_name":"Robustness","score":0.8352139}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8352139},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.818099},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.52779716},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.49994755},{"id":"https://openalex.org/C175694140","wikidata":"https://www.wikidata.org/wiki/Q980329","display_name":"Orthographic projection","level":2,"score":0.46422952},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44183293},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34789163},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33470392},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09591779},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-5531","pdf_url":"https://www.aclweb.org/anthology/D19-5531.pdf","source":null,"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":"https://arxiv.org/abs/1911.05241","pdf_url":"https://arxiv.org/pdf/1911.05241","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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/d19-5531","pdf_url":"https://www.aclweb.org/anthology/D19-5531.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":37,"referenced_works":["https://openalex.org/W1775434803","https://openalex.org/W1940872118","https://openalex.org/W1985541404","https://openalex.org/W1986105091","https://openalex.org/W2004763266","https://openalex.org/W2008652694","https://openalex.org/W2021531298","https://openalex.org/W2053374418","https://openalex.org/W2075460950","https://openalex.org/W2077929656","https://openalex.org/W2093664665","https://openalex.org/W2096765155","https://openalex.org/W2123442489","https://openalex.org/W2125838338","https://openalex.org/W2147880316","https://openalex.org/W2153848201","https://openalex.org/W2155524176","https://openalex.org/W2156163116","https://openalex.org/W2158473064","https://openalex.org/W2158899491","https://openalex.org/W2163605009","https://openalex.org/W2250729567","https://openalex.org/W2251567709","https://openalex.org/W2296283641","https://openalex.org/W2794655594","https://openalex.org/W2798858969","https://openalex.org/W2892131163","https://openalex.org/W2915429162","https://openalex.org/W2952087486","https://openalex.org/W2952230511","https://openalex.org/W2962739339","https://openalex.org/W2963563735","https://openalex.org/W2963625095","https://openalex.org/W2963940534","https://openalex.org/W4253573210","https://openalex.org/W4285719527","https://openalex.org/W4295253143"],"related_works":["https://openalex.org/W4225593417","https://openalex.org/W410723623","https://openalex.org/W3160494304","https://openalex.org/W3022298670","https://openalex.org/W3006162251","https://openalex.org/W2573498121","https://openalex.org/W2413243053","https://openalex.org/W2118717649","https://openalex.org/W2035068594","https://openalex.org/W2015341305"],"abstract_inverted_index":{"Robustness":[0],"to":[1,24,28,31,61,63,80,87],"capitalization":[2,81],"errors":[3,82],"is":[4],"a":[5,49],"highly":[6],"desirable":[7],"characteristic":[8],"of":[9,113],"named":[10],"entity":[11],"recognizers,":[12],"yet":[13],"we":[14],"find":[15],"standard":[16],"models":[17],"for":[18],"the":[19,32,59,74],"task":[20],"are":[21],"surprisingly":[22],"brittle":[23],"such":[25],"noise.Existing":[26],"methods":[27],"improve":[29],"robustness":[30,79],"noise":[33],"completely":[34],"discard":[35],"given":[36],"orthographic":[37,67],"information,":[38],"which":[39,57],"significantly":[40,94],"degrades":[41],"their":[42],"performance":[43,89],"on":[44,54,70,90,98],"well-formed":[45,91],"text.":[46,101],"We":[47],"propose":[48],"simple":[50],"alternative":[51],"approach":[52],"based":[53],"data":[55],"augmentation,":[56],"allows":[58],"model":[60],"learn":[62],"utilize":[64],"or":[65],"ignore":[66],"information":[68],"depending":[69],"its":[71,88],"usefulness":[72],"in":[73],"context.":[75],"It":[76],"achieves":[77],"competitive":[78],"while":[83],"making":[84],"negligible":[85],"compromise":[86],"text":[92],"and":[93,105,118],"improving":[95],"generalization":[96],"power":[97],"noisy":[99],"user-generated":[100],"Our":[102],"experiments":[103],"clearly":[104],"consistently":[106],"validate":[107],"our":[108],"claim":[109],"across":[110],"different":[111],"types":[112],"machine":[114],"learning":[115],"models,":[116],"languages,":[117],"dataset":[119],"sizes.":[120]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2988846051","counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":1}],"updated_date":"2024-12-15T12:12:17.523526","created_date":"2019-11-22"}