Mutlti Word Epressions (MWE) are an important problem in NLP. Many researchers use association measures for collecting and evaluating MWE candidates. In this paper we propose to check if it is legitimate to use those measures when data are only collected on one pattern of MWE (e.g. NounAdjective) for evaluating candidates belonging to an other pattern (e.g. NounNoun). For this purpose, we run t...

Multiword expressions (MWE), a known nuisance for both linguistics and NLP, blur the lines between syntax and semantics. Previous work onMWE identification has relied primarily on surface statistics, which perform poorly for longer MWEs and cannot model discontinuous expressions. To address these problems, we show that even the simplest parsing models can effectively identify MWEs of arbitrary ...

This paper presents a method to improve estimation accuracy of Sliding-Mode Observers (SMOs) using frequency domain analysis. First, the high gain property of the SMO is employed in order to obtain fast convergence of the estimated states. Then, when the system is in the switching condition, signals are decomposed into two parts in the frequency domain: 1) the slow-mode part, which consists of ...

Identification of Multi-Word Expressions (MWEs) lies at the heart of many natural language processing applications. In this research, we deal with a particular type of Hebrew MWEs, VerbNoun MWEs (VN-MWEs), which combine a verb and a noun with or without other words. Most prior work on MWEs classification focused on linguistic and statistical information. In this paper, we claim that it is essen...

Multiword expressions (MWEs) and named entities (NEs) exhibit unique and idiosyncratic features, thus, they often pose a problem to NLP systems. In order to facilitate their identification we developed the first corpus of Wikipedia articles in which several types of multiword expressions and named entities are manually annotated at the same time. The corpus can be used for training or testing M...

The importance and role of multi-word expressions (MWE) in the description and processing of natural language has been long recognized. However, multi-word information has often been relegated to the marginal role of idiosyncratic lexical information. The need for MWE lexicons grows even more acute for multi-lingual applications, for which (sometimes complex) correspondences must be identified,...

Due to idiosyncrasies in their syntax, semantics or frequency, Multiword Expressions (MWEs) have received special attention from the NLP community, as the methods and techniques developed for the treatment of simplex words are not necessarily suitable for them. This is certainly the case for the automatic acquisition of MWEs from corpora. A lot of effort has been directed to the task of automat...

The Multi-word Expressions (MWE) treatment is a very difficult problem for the Natural Language Processing in general and for Machine Translation in particular. This is true because each word of a MWE can have a specific meaning but the expression can have a totally different meaning both in source and in target language of a translation. The things are complicated also by the fact that the sou...

We examine the potential for parallelism in Runge-Kutta (RK) methods based on formulas in standard one-step form. Both negative and positive results are presented. Many of the negative results are based on a theorem that bounds the order of a RK formula in terms of the minimum polynomial for its coeecient matrix. The positive results are largely examples of prototypical formulas which ooer a po...

a group g is said to be a (pf)c-group or to have polycyclic-by-finite conjugacy classes, if g/c_{g}(x^{g}) is a polycyclic-by-finite group for all xin g. this is a generalization of the familiar property of being an fc-group. de falco et al. (respectively, de giovanni and trombetti) studied groups whose proper subgroups of infinite rank have finite (respectively, polycyclic) conjugacy classes. ...