This paper concerns how to apply compositional methods to vectors based on grammatical dependency relation vectors. We demonstrate the potential of a novel approach which uses higher-order grammatical dependency relations as features. We apply the approach to adjective-noun compounds with promising results in the prediction of the vectors for (held-out) observed phrases
International audienceIn this article, we describe a new approach to distributional semantics. This ...
Comunicació presentada a Empirical Methods in Natural Language Processing and Computational Natural ...
The field of distributional-compositional se-mantics has yielded a range of computational models for...
This paper concerns how to apply compo-sitional methods to vectors based on gram-matical dependency ...
We present a new framework for compositional distributional semantics in which the distributional co...
This article provides a preliminary semantic framework for Dependency Grammar in which lexical words...
In this thesis, I study the ability of compositional distributional semantics to model adjective mod...
We propose a strategy to build the distributional meaning of sentences mainly based on two types of ...
Distributional semantics has very successfully modeled semantic phenomena at the word level, and rec...
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 ...
This paper proposes two approaches to compositional semantics in distributional semantic spaces. Bo...
Distributional semantic models, deriving vector-based word representations from patterns of word usa...
Distributional models are derived from co- occurrences in a corpus, where only a small proportion of...
This article describes a compositional model based on syntactic dependencies which has been designed...
International audienceIn this article, we describe a new approach to distributional semantics. This ...
Comunicació presentada a Empirical Methods in Natural Language Processing and Computational Natural ...
The field of distributional-compositional se-mantics has yielded a range of computational models for...
This paper concerns how to apply compo-sitional methods to vectors based on gram-matical dependency ...
We present a new framework for compositional distributional semantics in which the distributional co...
This article provides a preliminary semantic framework for Dependency Grammar in which lexical words...
In this thesis, I study the ability of compositional distributional semantics to model adjective mod...
We propose a strategy to build the distributional meaning of sentences mainly based on two types of ...
Distributional semantics has very successfully modeled semantic phenomena at the word level, and rec...
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 ...
This paper proposes two approaches to compositional semantics in distributional semantic spaces. Bo...
Distributional semantic models, deriving vector-based word representations from patterns of word usa...
Distributional models are derived from co- occurrences in a corpus, where only a small proportion of...
This article describes a compositional model based on syntactic dependencies which has been designed...
International audienceIn this article, we describe a new approach to distributional semantics. This ...
Comunicació presentada a Empirical Methods in Natural Language Processing and Computational Natural ...
The field of distributional-compositional se-mantics has yielded a range of computational models for...