This paper concerns how to apply compo-sitional methods to vectors based on gram-matical dependency relation vectors. We demonstrate the potential of a novel ap-proach which uses higher-order grammat-ical dependency relations as features. We apply the approach to adjective-noun com-pounds with promising results in the pre-diction of the vectors for (held-out) ob-served phrases.
In this article, we describe a new approach to distributional semantics. This approach relies on a g...
In this study, we use compositional distribu-tional semantic methods to investigate restric-tions in...
International audienceIn this article, we describe a new approach to distributional semantics. This ...
This paper concerns how to apply compositional methods to vectors based on grammatical dependency re...
We propose a strategy to build the distributional meaning of sentences mainly based on two types of ...
The field of distributional-compositional se-mantics has yielded a range of computational models for...
We present a new framework for compositional distributional semantics in which the distributional co...
Combining the strengths of distributional and logical semantics of natural language is a problem tha...
In this thesis, I study the ability of compositional distributional semantics to model adjective mod...
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 semantic models, deriving vector-based word representations from patterns of word usa...
Empirical distributional methods account for the meaning of syntactic structures by combining word v...
This article describes a compositional model based on syntactic dependencies which has been designed...
This paper proposes two approaches to compositional semantics in distributional semantic spaces. Bo...
In this article, we describe a new approach to distributional semantics. This approach relies on a g...
In this study, we use compositional distribu-tional semantic methods to investigate restric-tions in...
International audienceIn this article, we describe a new approach to distributional semantics. This ...
This paper concerns how to apply compositional methods to vectors based on grammatical dependency re...
We propose a strategy to build the distributional meaning of sentences mainly based on two types of ...
The field of distributional-compositional se-mantics has yielded a range of computational models for...
We present a new framework for compositional distributional semantics in which the distributional co...
Combining the strengths of distributional and logical semantics of natural language is a problem tha...
In this thesis, I study the ability of compositional distributional semantics to model adjective mod...
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 semantic models, deriving vector-based word representations from patterns of word usa...
Empirical distributional methods account for the meaning of syntactic structures by combining word v...
This article describes a compositional model based on syntactic dependencies which has been designed...
This paper proposes two approaches to compositional semantics in distributional semantic spaces. Bo...
In this article, we describe a new approach to distributional semantics. This approach relies on a g...
In this study, we use compositional distribu-tional semantic methods to investigate restric-tions in...
International audienceIn this article, we describe a new approach to distributional semantics. This ...