this paper investigates learner-initiated responses to english language teachers’ referential questions and learner initiatives after teachers’ feedback moves in meaning-focused question-answer sequences to analyze how interactional practices of language teachers, their initiation and feedback moves, facilitate learner initiatives. classroom discourse research has largely neglected learner init...

In many applications, faults are triggered by events that occur in a particular order. In fact, many bugs are caused by the interaction of only a low number of such events. Based on this assumption, sequence covering arrays (SCAs) have recently been proposed as suitable designs for event sequence testing. In practice, directly applying SCAs for testing is often impaired by additional constraint...

In the paper, we describe a series of stages in the development of a new virtual locomotion device designed to enhance remote, interpersonal communications. The latest system, called GSS (Ground Surface Simulator) , inherits the features of two previous locomotion interfaces, i.e. ATLAS (ATR Locomotion Interface for Active Self Motion) and ALF (ALive Floor). GSS also incorporates two different ...

In this paper, the answer selection problem in community question answering (CQA) is regarded as an answer sequence labeling task, and a novel approach is proposed based on the recurrent architecture for this problem. Our approach applies convolution neural networks (CNNs) to learning the joint representation of questionanswer pair firstly, and then uses the joint representation as input of the...

Our goal is to extract answers from preretrieved sentences for Question Answering (QA). We construct a linear-chain Conditional Random Field based on pairs of questions and their possible answer sentences, learning the association between questions and answer types. This casts answer extraction as an answer sequence tagging problem for the first time, where knowledge of shared structure between...

Update semantics for Answer-Set Programming assign models to sequences of answer-set programs which result from the iterative process of updating programs by programs. Each program in the sequence represents an update of the preceding ones. One of the enduring problems in this context is state condensing, or the problem of determining a single logic program that faithfully represents the sequen...