Givenness (Schwarzschild, 1999) is one of the central notions in the formal pragmatic literature discussing the organization of discourse. In this paper, we explore where distributional semantics can help address the gap between the linguistic insights into the formal pragmatic notion of Givenness and its implementation in computational

We introduce DISSECT, a toolkit to build and explore computational models of word, phrase and sentence meaning based on the principles of distributional semantics. The toolkit focuses in particular on compositional meaning, and implements a number of composition methods that have been proposed in the literature. Furthermore, DISSECT can be useful to researchers and practitioners who need models...

Abstract Isotonic distributional regression (IDR) is a powerful non-parametric technique for the estimation of conditional distributions under order restrictions. In nutshell, IDR learns that are calibrated, and simultaneously optimal relative to comprehensive classes relevant loss functions, subject isotonicity constraints in terms partial on covariate space. Non-parametric isotonic quantile b...

In this work we investigate commonalities and differences between the semantic representations of concrete and abstract words using human judgments and distributional semantics. We tackle the following questions: a) Does distributional similarity imply similarity in concreteness vs. abstractness? b) How do concrete and abstract context words co-occur with concrete and abstract words? c) Are our...

This paper introduces the wordspace package, which turns Gnu R into an interactive laboratory for research in distributional semantics. The package includes highly efficient implementations of a carefully chosen set of key functions, allowing it to scale up to real-life data sets.

We sketch the basis of a categorical compositional distributional semantic approach to the analysis of verb phrase ellipsis.

Compositional distributional semantic models (CDSMs) have successfully been applied to the task of predicting the meaning of a range of linguistic constructions. Their performance on semicompositional word formation process of (morphological) derivation, however, has been extremely variable, with no large-scale empirical investigation to date. This paper fills that gap, performing an analysis o...

This paper describes the current status of research in Distributional Semantics looking at the results from the Montagovian tradition stand point. It considers the main aspects of the Montagovian view as binoculars to observe those results, in particular: compositionality, syntax-semantics interface, logical words and entailment. To this end, it reviews some work that aims to tackle those issue...