Feature Selection (FS) methods based on fuzzy-rough set theory (FRFS) have employed the dependency function to guide the FS process with much success. More recently a method has been developed which uses fuzzy-entropy [9] to perform this task. Such use of fuzzy-entropy as an evaluation measure in fuzzy-rough feature selection can result in smaller subset sizes than those obtained through FRFS a...

Current work on universal dependency schemes in NLP does not make reference to the extensive typological research on language universals, but could benefit since many principles are shared between the two enterprises. We propose a revision of the syntactic dependencies in the Universal Dependencies scheme (Nivre et al. [16, 17]) based on four principles derived from contemporary typological the...

Word Grammar (Hudson 1984, 1990), in common with other dependency-based theories of syntax, seeks to express syntactic knowledge in terms of direct relationships between words. Dependency theories have traditionally recognised a large class of primitive grammatical relations (GRs), including Subject, Object and Adjunct, amongst others. In this paper I call into question the status of these GRs,...

A psychophysical approach has been designed to measure straylight from intraocular lenses (IOLs) in vitro. This approach uses a clinical straylight meter (C-Quant) and an observer's eye as optical detector. Based on this, we introduced a method for study of straylight-wavelength dependency for IOLs. This dependency can be used to distinguish between 2 types of scattering particles (small and la...

A sequence of nodes in a syntax tree, each the head of the next, is usually called a projection path, or simply a projection. Projections in this sense are fairly basic phrase-structural entities, though hardly of central importance in most accounts. There are a few exceptions. For example, varieties of projection that I called c-projection and s-projection were significant in my earlier work o...

This paper describes a new method, based on information theory, for measuring sentence similarity. The method first computes the information content (IC) of dependency triples using corpus statistics generated by processing the Open American National Corpus (OANC) with the Stanford Parser. We define the similarity of two sentences as a function of (1) the similarity of their constituent depende...

Alpino is a wide-coverage computational analyzer of Dutch which aims at accurate, full, parsing of unrestricted text. We describe the head-driven lexicalized grammar and the lexical component, which has been derived from existing resources. The grammar produces dependency structures, thus providing a reasonably abstract and theory-neutral level of linguistic representation. An important aspect ...

Abstract Finding common ground between theories that have never or seldom spoken is a necessary first step to bridge-building, particularly concerning their foundational bases. This article proposes develop such footing for dialogue the Marxist version of Latin American Dependency Theory (MDT) and Robert Cox’s neo-Gramscian Critical (NCT). The onto-methodological debate around agency-structure ...

Traditionally, dependency theory has been developed for uninterpreted data. Specifically, the only assumption that is made about the data domains is that data values can be compared for equality. However, data is often interpreted and there can be advantages in considering it as such, for instance obtaining more compact representations as done in constraint databases. This paper considers depen...

This study aims to see how the role of Weverse digital application as a New Media in interaction relationship between K-Pop Artists or Idols and their fans. And understand what are effects using application. In conducting this research, researcher uses basis Dependency Theory. The thing that underlies use media dependency theory is because explains more person depends on meet needs, important b...