Bootstrapping an Italian VerbNet: data-driven analysis of verb alternations
نویسندگان
چکیده
The goal of this paper is to propose a classification of the syntactic alternations admitted by the most frequent Italian verbs. The data-driven two-steps procedure exploited and the structure of the identified classes of alternations are presented in depth and discussed. Even if this classification has been developed with a practical application in mind, namely the semi-automatic building of a VerbNet-like lexicon for Italian verbs, partly following the methodology proposed in the context of the VerbNet project, its availability may have a positive impact on several related research topics and Natural Language Processing tasks.
منابع مشابه
Extracting HPSG Lexicon from Arabic VerbNet
This paper presents the construction of a HPSG lexicon of Arabic verbal entities, automatically inferred from the Arabic VerbNet, a large coverage verb lexicon where verbs are classified using syntactic alternations. We discuss the main verb specification along with the relation of the syntactic and semantic levels of representation within the HPSG framework. Extensive analysis of the Arabic Ve...
متن کاملItalian VerbNet: A Construction-based Approach to Italian Verb Classification
This paper proposes a new method for Italian verb classification -and a preliminary example of resulting classesinspired by Levin (1993) and VerbNet (Kipper-Schuler, 2005), yet partially independent from these resources; we achieved such a result by integrating Levin and VerbNet’s models of classification with other theoretic frameworks and resources. The classification is rooted in the constru...
متن کاملLeveraging VerbNet to build Corpus-Specific Verb Clusters
In this paper, we aim to close the gap from extensive, human-built semantic resources and corpus-driven unsupervised models. The particular resource explored here is VerbNet, whose organizing principle is that semantics and syntax are linked. To capture patterns of usage that can augment knowledge resources like VerbNet, we expand a Dirichlet process mixture model to predict a VerbNet class for...
متن کاملVerbNet Workbench
In this paper a tool to manage a dataset for a VerbNet-like verb lexicon is presented. It was designed to allow users to create a verb lexicon for another language than English and at the same time use the same data structure as the English VerbNet. We take a look at the most relevant requirements of the software and will give an overview of the functionality
متن کاملIncorporating Coercive Constructions into a Verb Lexicon
We take the first steps towards augmenting a lexical resource, VerbNet, with probabilistic information about coercive constructions. We focus on CAUSEDMOTION as an example construction occurring with verbs for which it is a typical usage or for which it must be interpreted as extending the event semantics through coercion, which occurs productively and adds substantially to the relational seman...
متن کامل