We conduct a pilot study for task-oriented evaluation of Multiword Expression (MWE) in Statistical Machine Translation (SMT). We propose two different integration strategies for MWE in SMT, which take advantage of different degrees of MWE semantic compositionality and yield complementary improvements in SMT quality on a large-scale translation task.1

In this paper, we overview the current status of research in the field of collaborative sensing for urban transportation. We first classify the different types of sensors that can be relevant in collaborative urban sensing and then we analyze three different topics: parking spaces, traffic, and trajectories. We discuss issues regarding the sensing and data sharing approaches as well as relevant...

This paper presents the Unified Collaborative Innovation Framework (UCIF) developed in the European Integrated Project Laboranova (Collaboration Environment for Strategic Innovation). The Framework aims at the support of the early stage innovation process by means of collaborative working environments. As implied by its name, UCIF is a framework, which by definition is a conceptual construct ac...

We present a domain-independent clusteringbased approach for automatic extraction of multiword expressions (MWEs). The method combines statistical information from a general-purpose corpus and texts from Wikipedia articles. We incorporate association measures via dimensions of data points to cluster MWEs and then compute the ranking score for each MWE based on the closest exemplar assigned to a...

Quality of Service (QoS) support for wireless sensor networks (WSN) is a fairly new topic that is gaining more and more interest. This paper introduces a method for determining the node configurations of a WSN such that application-level QoS constraints are met. This is a complex task, since the search space is typically extremely large. The method is based on a recent algebraic approach to Par...

The focus of this work is statistical idiosyncrasy (or collocational weight) as a discriminant property of multiword expressions. We formalize and model this property, compile a 2-class dataset of MWE and non-MWE examples, and evaluate our models on this dataset. We present a possible empirical implementation of collocational weight and study its effects on identification and extraction of MWEs...

We propose a method for joint unsupervised discovery of multiword expressions (MWEs) and their translations from parallel corpora. First, we apply independent monolingual MWE extraction in source and target languages simultaneously. Then, we calculate translation probability, association score and distributional similarity of co-occurring pairs. Finally, we rank all translations of a given MWE ...

We address the problem of classifying multiword expression tokens in running text. We focus our study on Verb-Noun Constructions (VNC) that vary in their idiomaticity depending on context. VNC tokens are classified as either idiomatic or literal. We present a supervised learning approach to the problem. We experiment with different features. Our approach yields the best results to date on MWE c...

Organizations today make radical use of the IT resources to sustain or better their existing competitive position. One such initiative is forming alliances on a shared IT backbone with partners of their value chain. We term these alliances the collaborative organizational structures (COS). Regardless of the nature of engagement with IT resources, organizations will require unique competencies t...

The aging of population has become a global trend and the critical knowledge of enterprises may be lost with the retirement of senior employees. Task-based cooperation is an important method to prevent the loss of knowledge and to promote the knowledge sharing behavior between senior employees and young ones. This paper constructs the knowledge contribution payoff functions of senior employees ...