{"id":"https://openalex.org/W2250409846","doi":"https://doi.org/10.3115/v1/d14-1057","title":"A Comparison of Selectional Preference Models for Automatic Verb Classification","display_name":"A Comparison of Selectional Preference Models for Automatic Verb Classification","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2250409846","doi":"https://doi.org/10.3115/v1/d14-1057","mag":"2250409846"},"language":"en","primary_location":{"id":"doi:10.3115/v1/d14-1057","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/d14-1057","pdf_url":"https://aclanthology.org/D14-1057.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 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/D14-1057.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031875561","display_name":"Will Roberts","orcid":"https://orcid.org/0000-0001-5736-5244"},"institutions":[{"id":"https://openalex.org/I39343248","display_name":"Humboldt-Universit\u00e4t zu Berlin","ror":"https://ror.org/01hcx6992","country_code":"DE","type":"education","lineage":["https://openalex.org/I39343248"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Will Roberts","raw_affiliation_strings":["Institut fr Anglistik und Amerikanistik, Humboldt University 10099 Berlin, Germany","Institut f\u00fcr Anglistik und Amerikanistik, Humboldt University 10099 Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Institut fr Anglistik und Amerikanistik, Humboldt University 10099 Berlin, Germany","institution_ids":["https://openalex.org/I39343248"]},{"raw_affiliation_string":"Institut f\u00fcr Anglistik und Amerikanistik, Humboldt University 10099 Berlin, Germany","institution_ids":["https://openalex.org/I39343248"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066039560","display_name":"Markus Egg","orcid":"https://orcid.org/0000-0002-7351-9175"},"institutions":[{"id":"https://openalex.org/I39343248","display_name":"Humboldt-Universit\u00e4t zu Berlin","ror":"https://ror.org/01hcx6992","country_code":"DE","type":"education","lineage":["https://openalex.org/I39343248"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus Egg","raw_affiliation_strings":["Institut fr Anglistik und Amerikanistik, Humboldt University 10099 Berlin, Germany","Institut f\u00fcr Anglistik und Amerikanistik, Humboldt University 10099 Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Institut fr Anglistik und Amerikanistik, Humboldt University 10099 Berlin, Germany","institution_ids":["https://openalex.org/I39343248"]},{"raw_affiliation_string":"Institut f\u00fcr Anglistik und Amerikanistik, Humboldt University 10099 Berlin, Germany","institution_ids":["https://openalex.org/I39343248"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5031875561"],"corresponding_institution_ids":["https://openalex.org/I39343248"],"apc_list":null,"apc_paid":null,"fwci":0.4229,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76863653,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"511","last_page":"522"},"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/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9970999956130981,"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/preference","display_name":"Preference","score":0.7126871943473816},{"id":"https://openalex.org/keywords/verb","display_name":"Verb","score":0.6930072903633118},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6553463339805603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6092417240142822},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5222569108009338},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19291815161705017},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17383414506912231}],"concepts":[{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.7126871943473816},{"id":"https://openalex.org/C2776397901","wikidata":"https://www.wikidata.org/wiki/Q24905","display_name":"Verb","level":2,"score":0.6930072903633118},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6553463339805603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6092417240142822},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5222569108009338},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19291815161705017},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17383414506912231}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3115/v1/d14-1057","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/d14-1057","pdf_url":"https://aclanthology.org/D14-1057.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 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.681.9523","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.681.9523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://emnlp2014.org/papers/pdf/EMNLP2014057.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.696.7293","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.696.7293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://aclweb.org/anthology/D/D14/D14-1057.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/v1/d14-1057","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/d14-1057","pdf_url":"https://aclanthology.org/D14-1057.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 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2250409846.pdf","grobid_xml":"https://content.openalex.org/works/W2250409846.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W101026854","https://openalex.org/W153523274","https://openalex.org/W200434350","https://openalex.org/W787331570","https://openalex.org/W1516391399","https://openalex.org/W1541481035","https://openalex.org/W1579035156","https://openalex.org/W1593239840","https://openalex.org/W1640287562","https://openalex.org/W1662133657","https://openalex.org/W1722459797","https://openalex.org/W1754931551","https://openalex.org/W1836521361","https://openalex.org/W1880262756","https://openalex.org/W1992871189","https://openalex.org/W1996908104","https://openalex.org/W1999471173","https://openalex.org/W1999684571","https://openalex.org/W2003698958","https://openalex.org/W2008951481","https://openalex.org/W2016381774","https://openalex.org/W2022023435","https://openalex.org/W2024754409","https://openalex.org/W2039217078","https://openalex.org/W2040985480","https://openalex.org/W2042965063","https://openalex.org/W2050712820","https://openalex.org/W2052474702","https://openalex.org/W2096423148","https://openalex.org/W2098352331","https://openalex.org/W2101837219","https://openalex.org/W2105140343","https://openalex.org/W2109895836","https://openalex.org/W2111112790","https://openalex.org/W2119610041","https://openalex.org/W2121227244","https://openalex.org/W2137471318","https://openalex.org/W2141211166","https://openalex.org/W2141289451","https://openalex.org/W2146950091","https://openalex.org/W2147298557","https://openalex.org/W2155870214","https://openalex.org/W2168185617","https://openalex.org/W2170340596","https://openalex.org/W2170471032","https://openalex.org/W2212307633","https://openalex.org/W2250786371","https://openalex.org/W2251434694","https://openalex.org/W2480831787","https://openalex.org/W2607879133","https://openalex.org/W2949791182","https://openalex.org/W3088413834","https://openalex.org/W3089269909","https://openalex.org/W4231510805","https://openalex.org/W4244105962","https://openalex.org/W4245436919","https://openalex.org/W4246980150"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2153749698","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W3192589309"],"abstract_inverted_index":{"We":[0,20],"present":[1],"a":[2],"comparison":[3],"of":[4],"different":[5],"selectional":[6],"preference":[7],"models":[8,25],"and":[9],"evaluate":[10],"them":[11],"on":[12,55],"an":[13,47],"automatic":[14],"verb":[15,31],"classification":[16],"task":[17],"in":[18,46],"German.":[19],"find":[21],"that":[22],"all":[23],"the":[24,33],"we":[26],"compare":[27],"are":[28],"effective":[29],"for":[30],"clustering;":[32],"best-performing":[34],"model":[35,53],"uses":[36],"syntactic":[37],"information":[38],"to":[39,61],"induce":[40],"nouns":[41],"classes":[42],"from":[43],"unlabelled":[44],"data":[45],"unsupervised":[48],"manner.":[49],"A":[50],"very":[51],"simple":[52],"based":[54],"lexical":[56],"preferences":[57],"is":[58],"also":[59],"found":[60],"perform":[62],"well.":[63]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
