© D. Kartsaklis. An open problem with categorical compositional distributional semantics is the representation of words that are considered semantically vacuous from a distributional perspective, such as determiners, prepositions, relative pronouns or coordinators. This paper deals with the topic of coordination between identical syntactic types, which accounts for the majority of coordination cases in language. By exploiting the compact closed structure of the underlying category and Frobenius operators canonically induced over the fixed basis of finite-dimensional vector spaces, we provide a morphism as representation of a coordinator tensor, and we show how it lifts from atomic types to compound types. Linguistic intuitions are provided,...
Categorical compositional distributional semantics is a model of natural language; it combines the s...
This paper shows how the tensor-based semantic framework of Coecke et al. can be seamlessly integrat...
This paper shows how the tensor-based semantic framework of Coecke et al. can be seamlessly integrat...
This survey presents in some detail the main advances that have been recently taking place in Comput...
This thesis is about the problem of compositionality in distributional semantics. Distributional sem...
This thesis is about the problem of compositionality in distributional semantics. Distributional sem...
Compositional distributional semantics is a subfield of Computational Linguistics which investigates...
The question of how to compose meaning in distributional representations of meaning has recently bee...
Abstract. We provide an overview of the hybrid compositional distribu-tional model of meaning, devel...
This paper proposes two approaches to compositional semantics in distributional semantic spaces. Bo...
Abstract. The framework of Compositional Distributional Semantics unifies vector space models for le...
This paper proposes two approaches to compositional semantics in distributional semantic spaces. Bo...
We provide an overview of the hybrid compositional distributional model of meaning, developed in Coe...
In previous work with J. Hedges, we formalised a generalised quantifiers theory of natural language ...
The mathematical representation of semantics is a key issue for Natural Language Processing (NLP). A...
Categorical compositional distributional semantics is a model of natural language; it combines the s...
This paper shows how the tensor-based semantic framework of Coecke et al. can be seamlessly integrat...
This paper shows how the tensor-based semantic framework of Coecke et al. can be seamlessly integrat...
This survey presents in some detail the main advances that have been recently taking place in Comput...
This thesis is about the problem of compositionality in distributional semantics. Distributional sem...
This thesis is about the problem of compositionality in distributional semantics. Distributional sem...
Compositional distributional semantics is a subfield of Computational Linguistics which investigates...
The question of how to compose meaning in distributional representations of meaning has recently bee...
Abstract. We provide an overview of the hybrid compositional distribu-tional model of meaning, devel...
This paper proposes two approaches to compositional semantics in distributional semantic spaces. Bo...
Abstract. The framework of Compositional Distributional Semantics unifies vector space models for le...
This paper proposes two approaches to compositional semantics in distributional semantic spaces. Bo...
We provide an overview of the hybrid compositional distributional model of meaning, developed in Coe...
In previous work with J. Hedges, we formalised a generalised quantifiers theory of natural language ...
The mathematical representation of semantics is a key issue for Natural Language Processing (NLP). A...
Categorical compositional distributional semantics is a model of natural language; it combines the s...
This paper shows how the tensor-based semantic framework of Coecke et al. can be seamlessly integrat...
This paper shows how the tensor-based semantic framework of Coecke et al. can be seamlessly integrat...