This article provides an overview of graded and probabilistic approaches in semantics and
pragmatics. These approaches share a common set of core research goals:(a) a concern …

The aim of this book is to characterize a notion of type which will cover both linguistic and
non-linguistic action and to lay the foundations for a theory of action based on a theory of …

The need for deeper semantic processing of human language by our natural language
processing systems is evidenced by their still-unreliable performance on inferencing tasks …

Distributional semantic models have become a mainstay in NLP, providing useful features
for downstream tasks. However, assessing long-term progress requires explicit long-term …

Functional Distributional Semantics provides a linguistically interpretable framework for
distributional semantics, by representing the meaning of a word as a function (a binary …

In this paper, we derive a notion of word meaning in context that characterizes meaning as
both intensional and conceptual. We introduce a framework for specifying local as well as …

We proposed a framework and its implementation as a Python library for converting English
utterances into higher-order logic (HOL) formulas. HOL extends first-order logic and …

Functional Distributional Semantics is a recently proposed framework for learning
distributional semantics that provides linguistic interpretability. It models the meaning of a …

Formal semantics in the Montagovian tradition provides precise meaning characterisations,
but usually without a formal theory of the pragmatics of contextual parameters and their …

Anaphora and ellipsis are well-studied kinds of reference in natural language and are used
to create semantic links between parts of expressions of arbitrary lengths. Lambek calculus …