We developed an open domain QA system that can handle factoid and nonfactoid questions in Indonesian language by using monolingual approaches. EAT classification is done by identifying question word and clue words. Keyword extraction from question is done by looking at POS information of each word in question, eliminating stop words, and stemming. We use articles from Indonesian Wikipedia as co...

the goal of the present research was to determine the extent to which students use study and learning strategies (sls), and its relationship with their academic achievement. participants were 425 students from literature and social science and engineering schools of ferdowsi university of mashhad, who were randomly selected among two grades (i.e., year one and three) from both types of universi...

State-of-the-art methods for secondary structure (Porter, Psi-PRED, SAM-T99sec, Sable) and solvent accessibility (Sable, ACCpro) predictions use evolutionary profiles represented by the position specific scoring matrix (PSSM). It has been demonstrated that evolutionary profiles are the most important features in the feature space for these predictions. Unfortunately applying PSSM matrix leads t...

This study reviews the instruments used for the clinical assessment of spasticity in children with cerebral palsy, and evaluates their compliance with the concept of spasticity, defined as a velocity-dependent increase in muscle tone to passive stretch. Searches were performed in Medline, Embase, and Cinahl, including the keywords 'spasticity', 'child', and 'cerebral palsy', to identify article...

Many probabilistic XML data models have been proposed to store XML data with uncertainty information, and based on them the issues such as structured querying are extensively studied. As an alternative to structured querying, keyword search in probabilistic XML data needs to be concerned. In this paper we addressed the issue of keyword search on probabilistic XML data. The probabilistic XML dat...

The identification of keyword queries in speech data from lowresources languages poses a challenge for current methods as speech recognition algorithms lack sufficient training data to produce high accuracy transcript. To compensate for these shortcomings, we extract signals from the data that are useful in keyword identification but are not being used by the speech recognizer. These signals ta...

Currently a new version of the distance education platform WeLearn [3] to be combined with an agent system ([1], also developed locally) for providing advanced services [2] is under development. In a previous stage of the project software was created to automatically derive keywords from documents, either from the different versions of metadata already contained (various Microsoft file formats,...

As our ability to store information increases, the mechanisms we employ to access that information become ever more important. In this paper, we present Archosum, a prototype of an organizational system that attempts to encapsulate the benefits of both hierarchical and keyword systems. By introducing abstract entities, Archosum provides a simple interface with which users can build and maintain...