The predominant knowledge-based approach to automated model construction, compositional modelling, employs a set of models of particular functional components. Its inference mechanism takes a scenario describing the constituent interacting components of a system and translates it into a useful mathematical model. This paper presents a novel compositional modelling approach aimed at building mod...

Stochastic Process Algebras have been proposed as compositional specification formalisms for performance models. In this paper, we describe a tool which aims at realising all beneficial aspects of compositional performance modelling, the TIPPtool. It incorporates methods for compositional specification as well as solution, based on state-of-the-art-techniques, and wrapped in a user-friendly gra...

Bilingual models that capture the semantics of sentences are typically only evaluated on cross-lingual transfer tasks such as cross-lingual document categorization or machine translation. In this work, we evaluate the quality of the monolingual representations learned with a variant of the bilingual compositional model of Hermann and Blunsom (2014), when viewing translations in a second languag...

In this work, we report on efforts for building a prototype simulink library for compositional modelling of hydrodynamic networks. The work is inspired by a cooperation with the EDF, where the desire for compositional modelling in a causal framework was exposed. The nature of the dynamics of hydrodynamic systems itself is compositional, and it is desirable to profit from this compositionality f...

To realize high quality machine translation, we proposed a Non-Compositional Language Model, and developed a sentence pattern dictionary of 226,800 pattern pairs for Japanese compound and complex sentences consisting of 2 or 3 clauses. In pattern generation from a parallel corpus, Compositional Constituents that could be generalized were 74% of independent words, 24% of phrases and only 15% of ...

This paper presents a model of concurrent objectoriented programming in which specification of computational behavior is separated from specification of interaction behavior of methods. It will be shown that this compositional approach to concurrent programming avoids some of the conceptual difficulties that have plagued the integration of concurrency and object-oriented models of programs. The...

Stochastic process algebras have been proposed as compositional specification formalisms for performance models. In this paper, we describe a tool which aims at realising all beneficial aspects of compositional performance modelling, the TIPPtool. It incorporates methods for compositional specification as well as solution, based on state-of-the-art techniques, and wrapped in a user-friendly gra...

We conduct a cross-modal priming experiment to determine the mental representation and access strategies for compound verbs (CV) in Bangla. Analysis of reaction time indicates that compositionality among CVs triggers priming effects for both the constituent verbs. On the other hand non-compositional CVs exhibit priming only for the polar verb. Thus, compositional CVs are decomposed into their c...

We present a novel compositional, generative model for vector space representations of meaning. This model reformulates earlier tensor-based approaches to vector space semantics as a top-down process, and provides efficient algorithms for transformation from natural language to vectors and from vectors to natural language. We describe procedures for estimating the parameters of the model from p...

In this note I describe a novel approach to modelling and exploiting probabilistic dependencies in compositional hierarchies for model-based scene interpretation. I present Bayesian Compositional Hierarchies (BCHs) which capture all probabilistic information about the objects of a compositional hierarchy in object-centered aggregate representations. BCHs extend typical Bayesian Network models b...