{"id":"https://openalex.org/W2250815964","doi":"https://doi.org/10.3115/v1/p14-2065","title":"The VerbCorner Project: Findings from Phase 1 of crowd-sourcing a semantic decomposition of verbs","display_name":"The VerbCorner Project: Findings from Phase 1 of crowd-sourcing a semantic decomposition of verbs","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2250815964","doi":"https://doi.org/10.3115/v1/p14-2065","mag":"2250815964"},"language":"en","primary_location":{"id":"doi:10.3115/v1/p14-2065","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p14-2065","pdf_url":"https://aclanthology.org/P14-2065.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 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/P14-2065.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015577544","display_name":"Joshua K. Hartshorne","orcid":"https://orcid.org/0000-0003-1240-3598"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Joshua K. Hartshorne","raw_affiliation_strings":["Department of Brain and Cognitive Sciences Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge, MA 02139, USA"],"affiliations":[{"raw_affiliation_string":"Department of Brain and Cognitive Sciences Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge, MA 02139, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087092493","display_name":"Claire Bonial","orcid":"https://orcid.org/0000-0002-3154-2852"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Claire Bonial","raw_affiliation_strings":["Department of Linguistics University of Colorado at Boulder Hellems 290, 295 UCB Boulder, CO 80309, USA"],"affiliations":[{"raw_affiliation_string":"Department of Linguistics University of Colorado at Boulder Hellems 290, 295 UCB Boulder, CO 80309, USA","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017464054","display_name":"Martha Palmer","orcid":"https://orcid.org/0000-0001-9864-6974"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Martha Palmer","raw_affiliation_strings":["Department of Linguistics University of Colorado at Boulder Hellems 290, 295 UCB Boulder, CO 80309, USA"],"affiliations":[{"raw_affiliation_string":"Department of Linguistics University of Colorado at Boulder Hellems 290, 295 UCB Boulder, CO 80309, USA","institution_ids":["https://openalex.org/I188538660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015577544"],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":1.8698,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.89569035,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"397","last_page":"402"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9990000128746033,"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":0.9990000128746033,"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/T12031","display_name":"Speech and dialogue systems","score":0.9990000128746033,"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":0.9976000189781189,"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/crowd-sourcing","display_name":"Crowd sourcing","score":0.6664153933525085},{"id":"https://openalex.org/keywords/verb","display_name":"Verb","score":0.6624969244003296},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6157606840133667},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.5916683673858643},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4814959764480591},{"id":"https://openalex.org/keywords/vase","display_name":"Vase","score":0.4748528301715851},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44314005970954895},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4417318105697632},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4360119700431824},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.25362932682037354},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.09235680103302002},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.06983068585395813},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.06725424528121948}],"concepts":[{"id":"https://openalex.org/C3018396927","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowd sourcing","level":2,"score":0.6664153933525085},{"id":"https://openalex.org/C2776397901","wikidata":"https://www.wikidata.org/wiki/Q24905","display_name":"Verb","level":2,"score":0.6624969244003296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6157606840133667},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.5916683673858643},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4814959764480591},{"id":"https://openalex.org/C2778999348","wikidata":"https://www.wikidata.org/wiki/Q191851","display_name":"Vase","level":2,"score":0.4748528301715851},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44314005970954895},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4417318105697632},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4360119700431824},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.25362932682037354},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.09235680103302002},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.06983068585395813},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.06725424528121948},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3115/v1/p14-2065","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p14-2065","pdf_url":"https://aclanthology.org/P14-2065.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 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.720.5341","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.720.5341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://joshuakhartshorne.org/papers/HartshorneBonialPalmerACL2014.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/v1/p14-2065","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p14-2065","pdf_url":"https://aclanthology.org/P14-2065.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 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8399999737739563}],"awards":[{"id":"https://openalex.org/G4318469940","display_name":"RI: Small: A Bayesian Approach to Dynamic Lexical Resources for Flexible Language Processing","funder_award_id":"1116782","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4713059963","display_name":null,"funder_award_id":"FA8750","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2250815964.pdf","grobid_xml":"https://content.openalex.org/works/W2250815964.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W36120347","https://openalex.org/W42019639","https://openalex.org/W172474810","https://openalex.org/W1558866924","https://openalex.org/W1640506982","https://openalex.org/W2026830935","https://openalex.org/W2029070039","https://openalex.org/W2039217078","https://openalex.org/W2040300040","https://openalex.org/W2050611670","https://openalex.org/W2052262800","https://openalex.org/W2088323522","https://openalex.org/W2094249282","https://openalex.org/W2142518823","https://openalex.org/W2251089262","https://openalex.org/W2289995201","https://openalex.org/W2295430208","https://openalex.org/W2295951612","https://openalex.org/W2328091329","https://openalex.org/W2579005319","https://openalex.org/W2607879133","https://openalex.org/W2728435982","https://openalex.org/W2970356856","https://openalex.org/W4249920809"],"related_works":["https://openalex.org/W1040149762","https://openalex.org/W3146586213","https://openalex.org/W1990860917","https://openalex.org/W4298411416","https://openalex.org/W2390096013","https://openalex.org/W2008392219","https://openalex.org/W203217190","https://openalex.org/W2178843214","https://openalex.org/W2153749698","https://openalex.org/W2799377820"],"abstract_inverted_index":{"Any":[0],"given":[1],"verb":[2],"can":[3,42],"appear":[4],"in":[5,83],"some":[6,40],"syntactic":[7,37],"frames":[8],"(Sally":[9],"broke":[10,20,25],"the":[11,22,26,36],"vase,":[12,23],"The":[13],"vase":[14,27],"broke)":[15],"but":[16],"not":[17,60],"others":[18],"(*Sally":[19],"at":[21],"*Sally":[24],"to":[28,90,113],"John).":[29],"There":[30],"is":[31,55],"now":[32],"considerable":[33],"evidence":[34],"that":[35,53],"behaviors":[38],"of":[39,75,98,118],"verbs":[41],"be":[43],"predicted":[44],"by":[45],"their":[46],"meanings,":[47],"and":[48,73],"many":[49],"current":[50],"theories":[51,72],"posit":[52],"this":[54,65,111],"true":[56],"for":[57,71],"most":[58],"if":[59],"all":[61],"verbs.":[62,99,120],"If":[63],"true,":[64],"fact":[66],"would":[67],"have":[68,92],"striking":[69],"implications":[70],"models":[74],"language":[76,85],"acquisition,":[77],"as":[78,80],"well":[79],"numerous":[81],"applications":[82],"natural":[84],"processing.":[86],"However,":[87],"empirical":[88],"investigations":[89],"date":[91],"focused":[93],"on":[94,102],"a":[95,107,114],"small":[96],"number":[97],"We":[100],"report":[101],"early":[103],"results":[104],"from":[105],"VerbCorner,":[106],"crowd-sourced":[108],"project":[109],"extending":[110],"work":[112],"large,":[115],"representative":[116],"sample":[117],"English":[119]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
