Unsupervised Learning of Verb Argument Structures

Unsupervised Learning of Verb Argument Structures. Alex, T., Pardo, R., Marcu, D., Graças, M., & Nunes, V. In In Proceedings of CICLing 2006, 2008. Citeseer.

Website abstract bibtex

We present a statistical generative model for unsupervised learning of verb argument structures. The model was used to automatically induce the argument structures for the 1,500 most frequent verbs of English. In an evalua- tion carried out for a representative sample of verbs, more than 90% of the in- duced argument structures were judged correct by human subjects. The induced structures also overlap significantly with those in PropBank, exhibiting some correct patterns of usage that are not present in this manually developed seman- tic resource.

@inProceedings{
 title = {Unsupervised Learning of Verb Argument Structures},
 type = {inProceedings},
 year = {2008},
 websites = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.65.7691},
 publisher = {Citeseer},
 id = {2dd03189-1935-32f8-a276-5f3c844710cd},
 created = {2011-05-15T14:44:47.000Z},
 accessed = {2011-05-06},
 file_attached = {false},
 profile_id = {5284e6aa-156c-3ce5-bc0e-b80cf09f3ef6},
 group_id = {066b42c8-f712-3fc3-abb2-225c158d2704},
 last_modified = {2017-03-14T14:36:19.698Z},
 tags = {verb structures},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Alex2008},
 private_publication = {false},
 abstract = {We present a statistical generative model for unsupervised learning of verb argument structures. The model was used to automatically induce the argument structures for the 1,500 most frequent verbs of English. In an evalua- tion carried out for a representative sample of verbs, more than 90% of the in- duced argument structures were judged correct by human subjects. The induced structures also overlap significantly with those in PropBank, exhibiting some correct patterns of usage that are not present in this manually developed seman- tic resource.},
 bibtype = {inProceedings},
 author = {Alex, T. and Pardo, R.S. and Marcu, D. and Graças, M. and Nunes, V.},
 booktitle = {In Proceedings of CICLing 2006}
}

Downloads: 0

{"_id":"pqEjZuNZ5CB66kgTA","bibbaseid":"alex-pardo-marcu-graas-nunes-unsupervisedlearningofverbargumentstructures-2008","authorIDs":[],"author_short":["Alex, T.","Pardo, R.","Marcu, D.","Graças, M.","Nunes, V."],"bibdata":{"title":"Unsupervised Learning of Verb Argument Structures","type":"inProceedings","year":"2008","websites":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.65.7691","publisher":"Citeseer","id":"2dd03189-1935-32f8-a276-5f3c844710cd","created":"2011-05-15T14:44:47.000Z","accessed":"2011-05-06","file_attached":false,"profile_id":"5284e6aa-156c-3ce5-bc0e-b80cf09f3ef6","group_id":"066b42c8-f712-3fc3-abb2-225c158d2704","last_modified":"2017-03-14T14:36:19.698Z","tags":"verb structures","read":false,"starred":false,"authored":false,"confirmed":"true","hidden":false,"citation_key":"Alex2008","private_publication":false,"abstract":"We present a statistical generative model for unsupervised learning of verb argument structures. The model was used to automatically induce the argument structures for the 1,500 most frequent verbs of English. In an evalua- tion carried out for a representative sample of verbs, more than 90% of the in- duced argument structures were judged correct by human subjects. The induced structures also overlap significantly with those in PropBank, exhibiting some correct patterns of usage that are not present in this manually developed seman- tic resource.","bibtype":"inProceedings","author":"Alex, T. and Pardo, R.S. and Marcu, D. and Graças, M. and Nunes, V.","booktitle":"In Proceedings of CICLing 2006","bibtex":"@inProceedings{\n title = {Unsupervised Learning of Verb Argument Structures},\n type = {inProceedings},\n year = {2008},\n websites = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.65.7691},\n publisher = {Citeseer},\n id = {2dd03189-1935-32f8-a276-5f3c844710cd},\n created = {2011-05-15T14:44:47.000Z},\n accessed = {2011-05-06},\n file_attached = {false},\n profile_id = {5284e6aa-156c-3ce5-bc0e-b80cf09f3ef6},\n group_id = {066b42c8-f712-3fc3-abb2-225c158d2704},\n last_modified = {2017-03-14T14:36:19.698Z},\n tags = {verb structures},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Alex2008},\n private_publication = {false},\n abstract = {We present a statistical generative model for unsupervised learning of verb argument structures. The model was used to automatically induce the argument structures for the 1,500 most frequent verbs of English. In an evalua- tion carried out for a representative sample of verbs, more than 90% of the in- duced argument structures were judged correct by human subjects. The induced structures also overlap significantly with those in PropBank, exhibiting some correct patterns of usage that are not present in this manually developed seman- tic resource.},\n bibtype = {inProceedings},\n author = {Alex, T. and Pardo, R.S. and Marcu, D. and Graças, M. and Nunes, V.},\n booktitle = {In Proceedings of CICLing 2006}\n}","author_short":["Alex, T.","Pardo, R.","Marcu, D.","Graças, M.","Nunes, V."],"urls":{"Website":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.65.7691"},"bibbaseid":"alex-pardo-marcu-graas-nunes-unsupervisedlearningofverbargumentstructures-2008","role":"author","downloads":0,"html":""},"bibtype":"inProceedings","creationDate":"2020-02-06T23:48:11.773Z","downloads":0,"keywords":[],"search_terms":["unsupervised","learning","verb","argument","structures","alex","pardo","marcu","graças","nunes"],"title":"Unsupervised Learning of Verb Argument Structures","year":2008}