{"id":"https://openalex.org/W188010199","doi":"https://doi.org/10.21437/interspeech.2010-549","title":"Creating a linguistic plausibility dataset with non-expert annotators","display_name":"Creating a linguistic plausibility dataset with non-expert annotators","publication_year":2010,"publication_date":"2010-09-26","ids":{"openalex":"https://openalex.org/W188010199","doi":"https://doi.org/10.21437/interspeech.2010-549","mag":"188010199"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2010-549","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2010-549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2010","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012372882","display_name":"Benjamin Lambert","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Benjamin Lambert","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102775511","display_name":"Rita Singh","orcid":"https://orcid.org/0000-0003-3743-0162"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rita Singh","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5113017615","display_name":"Bhiksha Raj","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bhiksha Raj","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, United States"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, United States","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5012372882"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.787,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.9053892,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1906","last_page":"1909"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/T12031","display_name":"Speech and dialogue systems","score":0.9991999864578247,"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":0.9991000294685364,"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/computer-science","display_name":"Computer science","score":0.7642650604248047},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6415800452232361},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5478354692459106},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3935038447380066},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.05698060989379883}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7642650604248047},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6415800452232361},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5478354692459106},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3935038447380066},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.05698060989379883}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2010-549","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2010-549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2010","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.365.8206","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.365.8206","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mlsp.cs.cmu.edu/publications/pdfs/p17190.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1590952807","https://openalex.org/W2010797893","https://openalex.org/W2141766660","https://openalex.org/W2151170651"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W3204019825"],"abstract_inverted_index":{"We":[0,78],"describe":[1,79],"the":[2,27,41,66,74,90,96,107],"creation":[3],"of":[4,13,76,86],"a":[5,49,84],"linguistic":[6,53],"plausibility":[7,54,75],"dataset":[8,28,112],"that":[9],"contains":[10],"annotated":[11,36],"examples":[12],"language":[14],"judged":[15],"to":[16,89,94,119],"be":[17],"linguistically":[18],"plausible,":[19],"implausible,":[20],"and":[21,33,101,113],"every-thing":[22],"in":[23,68,92],"between.":[24],"To":[25],"create":[26],"we":[29],"randomly":[30],"generate":[31],"sentences":[32],"have":[34],"them":[35],"by":[37],"crowd":[38],"sourcing":[39],"over":[40],"Amazon":[42],"Mechanical":[43],"Turk.":[44],"Obtaining":[45],"inter-annotator":[46],"agreement":[47],"is":[48,55],"difficult":[50],"problem":[51],"because":[52],"highly":[56],"subjective.":[57],"The":[58,110],"annotations":[59,114],"obtained":[60],"depend,":[61],"among":[62],"other":[63],"factors,":[64],"on":[65,82],"manner":[67],"which":[69],"annotators":[70],"are":[71,115],"questioned":[72],"about":[73],"sentences.":[77],"our":[80],"experiments":[81],"posing":[83],"number":[85],"different":[87],"questions":[88],"annotators,":[91],"order":[93],"elicit":[95],"responses":[97],"with":[98],"greatest":[99],"agreement,":[100],"present":[102],"several":[103],"methods":[104],"for":[105],"analyzing":[106],"resulting":[108],"responses.":[109],"generated":[111],"being":[116],"made":[117],"available":[118],"public.":[120]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
