Natural language processing technology has made significant progress in recent years, fuelled by increasingly powerful general models. This also inspired a sizeable body of work targeted specifically towards the educational domain, where creation questions (both for assessment and practice) is laborious/expensive effort. Thus, automatic Question-Generation (QG) solutions have been proposed stud...

Fill-in-the-blank questions are one of the main assessment devices in REAP.PT tutoring system. The problem of automatically generating the stems, i.e. the sentences that serve as basis to this type of question, has been studied mostly for English, and it remains a challenge for a language as morphologically rich as European Portuguese (EP), for which additional data scarcity problems arise. To ...

The starting point of most experimental and clinical examinations bilingual language development is the choice measure participants’ proficiency, which affects interpretation findings has pedagogical implications. Recent work on heritage L2 acquisition Russian used varying proficiency assessment tools, including elicited production, vocabulary recognition, in-house measures. Using such differen...

The automatic induction of scripts (Schank and Abelson, 1977) has been the focus of many recent works. In this paper, we employ a variety of these methods to learn Schank and Abelson’s canonical restaurant script, using a novel dataset of restaurant narratives we have compiled from a website called “Dinners from Hell.” Our models learn narrative chains, script-like structures that we evaluate w...

Abstract The current study sought to examine the validity of a General English Achievement Test (GEAT), administered university students in fall semester 2018–2019 academic year, by hybridizing differential information (DIF) and distractor function (DDF) analytical models. Using purposive sampling method, from target population undergraduate studying different disciplines at Islamic Azad Univer...