Corpus-based method for automatic identification of support verbs for nominalizations
EACL '95 Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics
Automatic translation of support verb constructions
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
Statistical measures of the semi-productivity of light verb constructions
MWE '04 Proceedings of the Workshop on Multiword Expressions: Integrating Processing
PropBank annotation of multilingual light verb constructions
LAW IV '10 Proceedings of the Fourth Linguistic Annotation Workshop
Complex predicates annotation in a corpus of Portuguese
LAW IV '10 Proceedings of the Fourth Linguistic Annotation Workshop
Multiword expressions in the wild?: the mwetoolkit comes in handy
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Demonstrations
Corpus-Based acquisition of support verb constructions for portuguese
PROPOR'12 Proceedings of the 10th international conference on Computational Processing of the Portuguese Language
A generic framework for multiword expressions treatment: from acquisition to applications
ACL '12 Proceedings of ACL 2012 Student Research Workshop
Learning to detect english and hungarian light verb constructions
ACM Transactions on Speech and Language Processing (TSLP) - Special issue on multiword expressions: From theory to practice and use, part 1
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Semantic Role Labeling annotation task depends on the correct identification of predicates, before identifying arguments and assigning them role labels. However, most predicates are not constituted only by a verb: they constitute Complex Predicates (CPs) not yet available in a computational lexicon. In order to create a dictionary of CPs, this study employs a corpus-based methodology. Searches are guided by POS tags instead of a limited list of verbs or nouns, in contrast to similar studies. Results include (but are not limited to) light and support verb constructions. These CPs are classified into idiomatic and less idiomatic. This paper presents an in-depth analysis of this phenomenon, as well as an original resource containing a set of 773 annotated expressions. Both constitute an original and rich contribution for NLP tools in Brazilian Portuguese that perform tasks involving semantics.