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...

The pure common-value auction with private budget constraints that we study admits multiple equilibria, which replicate the bid distribution from the monotone, pure strategy equilibrium defined in Section 3. As explained in the main text, a bidder is indifferent among a range of bids. Thus, he has multiple best reply bids and may randomize among them. Provided that the resulting aggregate distr...

If either property rights or institutions are weak, agents who create wealth by cooperating will later have an incentive to fight over the distribution of it. In this paper we investigate theoretically and experimentally the circumstances under which welfare losses from investment in distributional contests destroy welfare gains from voluntary cooperation. We find that in situations, where the ...

Distributional semantics has been extended to phrases and sentences by means of composition operations. We look at how these operations affect similarity measurements, showing that similarity equations of an important class of composition methods can be decomposed into operations performed on the subparts of the input phrases. This establishes a strong link between these models and convolution ...

The aim of this paper is to present a computational model of the dynamic composition and update of verb argument expectations using Distributional Memory, a state-of-the-art framework for distributional semantics. The experimental results conducted on psycholinguistic data sets show that the model is able to successfully predict the changes on the patient argument thematic fit produced by diffe...

Distributional models of semantics assume that the meaning of a word is a function of the contexts in which it occurs. In line with this, prior research suggests that a word’s semantic representation can be manipulated – pushed toward a target meaning, e.g. – by situating that word in distributional contexts frequented by the target. Left open to question is the role that sequence plays in the ...

Reducing vulnerabilities is at the core of climate change adaptation interventions. This goal usually approached from perspective increasingly universal methodologies, tools and services that are grounded in Western scientific thought knowledge. Questions (in-)justices new or reproduced play a marginal role In this paper, we argue failure to acknowledge, let alone address, intricate linkages be...

Since synonyms are important lexical knowledge, various methods have been proposed for automatic synonym acquisition. Whereas most of the methods are based on the distributional hypothesis and utilize contextual clues, little attention has been paid to what kind of contextual information is useful for the purpose. As one of the ways to augment contextual information, we propose the use of indir...