Add to ORKGIn this work we employed a set of 26 Italian noun-adjective expressions to test compositionality indices that compare the distributional vector of an expression with the vectors of its lexical variants. These were obtained by replacing the components of the original expression with semantically related words. Our indices performed comparably or better than other compositionality measures reported in the distributional literature
Distributional semantics has very successfully modeled semantic phenomena at the word level, and rec...
Distributional semantic models, deriving vector-based word representations from patterns of word usa...
This paper proposes two approaches to compositional semantics in distributional semantic spaces. Bo...
In this work we employed a set of 26 Italian noun-adjective expressions to test compositionality ind...
In this work we carried out an idiom type identification task on a set of 90 Italian V-NP and V-PP...
In this thesis, I study the ability of compositional distributional semantics to model adjective mod...
Over the last two decades, numerous algorithms have been developed that successfully capture somethi...
Distributional models of semantics have proven themselves invaluable both in cognitive modelling of ...
Comunicació presentada a: Fourth Joint Conference on Lexical and Computational Semantics celebrat de...
This article describes a compositional model based on syntactic dependencies which has been designed...
Semantic idiomaticity is the extent to which the meaning of a multiword expression (MWE) cannot be p...
In this work, we present a new task for testing compositional distributional semantic models. Recent...
A fundamental principle in distributional semantic models is to use similarity in linguistic environ...
We predict the compositionality of multi-word expressions using distributional sim-ilarity between e...
Distributional semantics has very successfully modeled semantic phenomena at the word level, and rec...
Distributional semantic models, deriving vector-based word representations from patterns of word usa...
This paper proposes two approaches to compositional semantics in distributional semantic spaces. Bo...
In this work we employed a set of 26 Italian noun-adjective expressions to test compositionality ind...
In this work we carried out an idiom type identification task on a set of 90 Italian V-NP and V-PP...
In this thesis, I study the ability of compositional distributional semantics to model adjective mod...
Over the last two decades, numerous algorithms have been developed that successfully capture somethi...
Distributional models of semantics have proven themselves invaluable both in cognitive modelling of ...
Comunicació presentada a: Fourth Joint Conference on Lexical and Computational Semantics celebrat de...
This article describes a compositional model based on syntactic dependencies which has been designed...
Semantic idiomaticity is the extent to which the meaning of a multiword expression (MWE) cannot be p...
In this work, we present a new task for testing compositional distributional semantic models. Recent...
A fundamental principle in distributional semantic models is to use similarity in linguistic environ...
We predict the compositionality of multi-word expressions using distributional sim-ilarity between e...
Distributional semantics has very successfully modeled semantic phenomena at the word level, and rec...
Distributional semantic models, deriving vector-based word representations from patterns of word usa...
This paper proposes two approaches to compositional semantics in distributional semantic spaces. Bo...