In this paper, I discuss some methodological problems arising from the use of corpus data for semantic verb classification. In particular, I present a computational framework to describe the distributional properties of Italian verbs using linguistic data automatically extracted from a large corpus. This information is used to build a distribution-based classification of a set of Italian verbs. Its small scale notwithstanding, this case study will provide evidence for the complex interplay between syntactic and semantic verb features
grantor: University of TorontoLexical semantic classes incorporate both syntactic and sema...
Abstract. Lexical classifications have proved useful in supporting various natural language processi...
Lexical semantic classes of verbs play an important role in structuring complex predicate informatio...
Verb meanings represent construals of events, lexicalizations of actual happenings in the world: a p...
The purpose of this paper is to evaluate whether distributional techniques applied to lexical sets, ...
This paper proposes a new method for Italian verb classification -and a preliminary example of resul...
We apply machine learning techniques to classify automatically a set of verbs into lexical semanti...
This paper proposes a new method for Italian verb classification -and a preliminary example of r...
By applying the Corpus Pattern Analysis procedure (CPA, Hanks 2004) to the analysis of concordances ...
In this paper, we propose innovative representations for automatic classification of verbs according...
The goal of this paper is to propose a classification of the syntactic alternations admitted by the ...
The work presented in this paper reviews in depth the computational methods and tecniques developed ...
We report a number of computational experiments in supervised learning whose goal is to automatica...
In this paper, we present the first analysis of bottom-up manual semantic clustering of verbs in thr...
This paper empirically evaluates the performances of different state-of-the-art distributional model...
grantor: University of TorontoLexical semantic classes incorporate both syntactic and sema...
Abstract. Lexical classifications have proved useful in supporting various natural language processi...
Lexical semantic classes of verbs play an important role in structuring complex predicate informatio...
Verb meanings represent construals of events, lexicalizations of actual happenings in the world: a p...
The purpose of this paper is to evaluate whether distributional techniques applied to lexical sets, ...
This paper proposes a new method for Italian verb classification -and a preliminary example of resul...
We apply machine learning techniques to classify automatically a set of verbs into lexical semanti...
This paper proposes a new method for Italian verb classification -and a preliminary example of r...
By applying the Corpus Pattern Analysis procedure (CPA, Hanks 2004) to the analysis of concordances ...
In this paper, we propose innovative representations for automatic classification of verbs according...
The goal of this paper is to propose a classification of the syntactic alternations admitted by the ...
The work presented in this paper reviews in depth the computational methods and tecniques developed ...
We report a number of computational experiments in supervised learning whose goal is to automatica...
In this paper, we present the first analysis of bottom-up manual semantic clustering of verbs in thr...
This paper empirically evaluates the performances of different state-of-the-art distributional model...
grantor: University of TorontoLexical semantic classes incorporate both syntactic and sema...
Abstract. Lexical classifications have proved useful in supporting various natural language processi...
Lexical semantic classes of verbs play an important role in structuring complex predicate informatio...