In the task of Spoken Language Understanding (SLU), Intent Classification techniques have been applied to different domains of Spoken Dialog Systems (SDS). Recently it was shown that intent classification performance can be improved with Semantic Role (SR) information. However, using SR information for SDS encounters two difficulties: 1) the stateof-the-art Automatic Speech Recognition (ASR) sy...

The aim of this paper is to present a case study of an elementary school teacher who changed her practices to foster self-regulated learning (SRL) strategies in her students. Specifically, this study describes the process of how she developed her teaching strategies to promote SRL strategies such as self-evaluation, goal-setting and planning, and lastly, rehearsing and memorization. The teacher...

Self-regulated learning (SRL) can be measured in different ways (e.g., eye-tracking) and can be impacted by individual differences (e.g., prior knowledge) as college students learn with MetaTutor, an intelligent hypermedia system. In this study (N = 30), we examined fixation and duration data on interface-related areas of interest (AOI)-pairs as indicators of cognitive and metacognitive SRL str...

The sarcin-ricin loop (SRL) of 23S rRNA in the large ribosomal subunit is a factor-binding site that is essential for GTP-catalyzed steps in translation, but its precise functional role is thus far unknown. Here, we replaced the 15-nucleotide SRL with a GAAA tetraloop and affinity purified the mutant 50S subunits for functional and structural analysis in vitro. The SRL deletion caused defects i...

The immunosuppressant drugs cyclosporine A (CsA) and sirolimus (SRL) used in combination demonstrated beneficial effects in organ transplantation, but this combination can also result in increased adverse effects. We previously showed that not only CsA treatment but also its combination with SRL decreased paracellular permeability in renal proximal tubular cells by modification of the tight jun...

Teaching a computer to read is one of the most interesting and important artificial intelligence tasks. Due to the complexity of this task, many sub-problems have been defined, mostly in the area of natural language processing (NLP). In this thesis, we focus on semantic role labeling (SRL), one important processing step on the road from raw text to a full semantic representation. Given an input...

The purpose of the present study was to construct goal-setting mechanisms in a web-based portfolio assessment system (WBPAS), based on the self-regulated learning (SRL) process proposed by Zimmerman, and to examine effects of these mechanisms on SRL. The participants were two classes of 11th graders taking the website design class in a vocational high school. The participants were assigned rand...

Learning about complex and challenging science topics with advanced learning technologies requires students to regulate their learning. The deployment of key cognitive and metacognitive regulatory processes is key to enhancing learning in open-ended learning environments such as hypermedia. In this paper, we propose a metaphor—Computers as MetaCognitive tools—to characterize the complex nature ...

Open Information Extraction is a recent paradigm for machine reading from arbitrary text. In contrast to existing techniques, which have used only shallow syntactic features, we investigate the use of semantic features (semantic roles) for the task of Open IE. We compare TEXTRUNNER (Banko et al., 2007), a state of the art open extractor, with our novel extractor SRL-IE, which is based on UIUC’s...

The present study was conducted to investigate the students‟ attitudes towards English language learning (ELL) and use of self-regulated learning (SRL) strategies at one college in Dak Lak, Vietnam. This study involved 241 non-English majors taking part in answering a questionnaire. The results showed that although the participants had positive attitudes towards ELL, they were likely to engage ...