In this work we tested whether a series of compositionality indices that compute the distributional similarity between the vector of a given expression and the vectors of its lexical variants can effectively tell apart idiomatic and more compositional expressions in a set of 13 idiomatic and 13 non-idiomatic Italian target noun-adjective constructions. The lexical variants were obtained by replacing the components of the original expressions with semantically related words automatically extracted from Distributional Semantic Models or manually derived from Italian MultiWordnet. Indices based on the Mean or the Centroid cosine similarity between the target and the variant vectors performed comparably or better than the addition-based measure...
This paper proposes two approaches to compositional semantics in distributional semantic spaces. Bo...
We present several experiments aiming at measuring the semantic compositionality of NV expressions i...
Distributional semantics has been extended to phrases and sentences by means of composition operatio...
In this work we tested whether a series of compositionality indices that compute the distributional ...
In this thesis, I study the ability of compositional distributional semantics to model adjective mod...
In this work we carried out an idiom type identification task on a set of 90 Italian V-NP and V-PP c...
Semantic idiomaticity is the extent to which the meaning of a multiword expression (MWE) cannot be p...
We predict the compositionality of multi-word expressions using distributional sim-ilarity between e...
International audienceOver the last two decades, numerous algorithms have been developed that succes...
Distributional semantics has very successfully modeled semantic phenomena at the word level, and rec...
Distributional models of semantics have proven themselves invaluable both in cognitive modelling of ...
In this work, we present a new task for testing compositional distributional semantic models. Recent...
Comunicació presentada a: Fourth Joint Conference on Lexical and Computational Semantics celebrat de...
A fundamental principle in distributional semantic models is to use similarity in linguistic environ...
This paper proposes two approaches to compositional semantics in distributional semantic spaces. Bo...
We present several experiments aiming at measuring the semantic compositionality of NV expressions i...
Distributional semantics has been extended to phrases and sentences by means of composition operatio...
In this work we tested whether a series of compositionality indices that compute the distributional ...
In this thesis, I study the ability of compositional distributional semantics to model adjective mod...
In this work we carried out an idiom type identification task on a set of 90 Italian V-NP and V-PP c...
Semantic idiomaticity is the extent to which the meaning of a multiword expression (MWE) cannot be p...
We predict the compositionality of multi-word expressions using distributional sim-ilarity between e...
International audienceOver the last two decades, numerous algorithms have been developed that succes...
Distributional semantics has very successfully modeled semantic phenomena at the word level, and rec...
Distributional models of semantics have proven themselves invaluable both in cognitive modelling of ...
In this work, we present a new task for testing compositional distributional semantic models. Recent...
Comunicació presentada a: Fourth Joint Conference on Lexical and Computational Semantics celebrat de...
A fundamental principle in distributional semantic models is to use similarity in linguistic environ...
This paper proposes two approaches to compositional semantics in distributional semantic spaces. Bo...
We present several experiments aiming at measuring the semantic compositionality of NV expressions i...
Distributional semantics has been extended to phrases and sentences by means of composition operatio...