A case study on automotive lane centering control is examined in Hybrid Event-B (an extension of Event-B that includes provision for continuously varying behaviour as well as the usual discrete changes of state). This allows aspects beyond the reach of a discrete Event-B treatment to be more deeply investigated. Lane centering offers particular challenges concerning how the monitoring of contin...

We consider the effect on estimation of simultaneous variable centering and interaction effects in linear regression. We technically define, review, and amplify many of the statistical issues for interaction models with centering in order to create a useful and compact reference for teachers, students, and applied researchers. In addition, we investigate a sequence of models that have an intera...

This paper presents our preliminary work in developing a Natural Language Processing (NLP)-enhanced Computer-Assisted Language Learning (CALL) program for Japanese learners that supports reading comprehension and writing revision process with focus on zero anaphora. We first discuss the pedagogical status of zero anaphora in a Japanese as a Second Language (JSL) learning environment, and argue ...

Many efforts in corpora annotation start with segmenting discourse into units of analysis. In this paper, we present a method for deciding on segmentation units within Centering Theory (Grosz, Joshi, & Weinstein, 1995). We survey the different existing methods to break down discourse into utterances and discuss the results of a comparison study among them. The contribution of our study is that ...

Computational research on reference resolution has mostly focused on pronouns and, to a lesser extent, on definite descriptions. We present a computational treatment of other-anaphora, i.e., noun phrases modified by “other” and “another”. The approach presented here is a lexical method LEX that finds antecedents on the basis of information in WordNet. LEX is compared with the state-of-the-art p...

of verbs in Japanese, given that the number of candidate antecedents exceeds that of the zero anaphors. Their use of functional notions, viz. topicality and empathy, naturally extend the role preferences of the underlying centering model, but unlike our case, no structural ambiguities are involved. In contrast, our approach applies to the representation of both types of ambiguities. We motivate...

Deep Boltzmann machines are in theory capable of learning efficient representations of seemingly complex data. Designing an algorithm that effectively learns the data representation can be subject to multiple difficulties. In this chapter, we present the “centering trick” that consists of rewriting the energy of the system as a function of centered states. The centering trick improves the condi...

with social development and technological progress, higher standards requirements are constantly put forward for talents. traditional employment courses have problems such as lack of pertinence, single content, practice, communication between teachers students, which cannot meet the needs students employment-related knowledge. centering on students’ career development, paper designs from five a...