The paper presents a knowledge-based program for automatic generation of a highly structured set of World Wide Web (WWW or web) pages, starting from a knowledge base represented using a frame (object-oriented) paradigm. This program is one of the modules of an intelligent tutoring computer system for advanced computer programming [TrN96]. The tutoring system is built around a structured (frame-...

background: objective structured clinical examination (osce) is one of the best methods of evaluating the achievement of domains such as educational objectives and cognitive, emotional, and psycho-motor aspects of medical students. according to available evidences, no study has been conducted  on the evaluating of osce in midwifery students. the main purpose of this study was the evaluation of ...

A Opting for a model-based approach to develop a set of tools for validating structured data concentrated at the beginning on the generic control engine which would read a knowledge base containing rules. But to attain this goal, one had to develop a Model Editor which over time evolved into a full-fledged Integrated Development Environment (IDE) for the modeling of structured data formats, the...

This paper focuses on the task of knowledge-based question answering (KBQA). KBQA aims to match the questions with the structured semantics in knowledge base. In this paper, we propose a two-stage method. Firstly, we propose a topic entity extraction model (TEEM) to extract topic entities in questions, which does not rely on hand-crafted features or linguistic tools. We extract topic entities i...

The idea of a Lexical knowledge base was recently proposed by the ESPRIT BRA AQUILEX [Briscoe 91], [Calzolari 92] project, to provide information, mostly of a semantic nature, internally consistently structured and electronically available. Three levels of lexical representation are proposed in AQUILEX: (a) Machine Readable Dictionary (MRD), i.e. an electronic version of the paper dictionary; (...

The development of natural language interfaces to Artificial Intelligence systems is dependent on the representation of knowledge. A major impediment to building such systems has been the difficulty in adding sufficient linguistic and conceptual knowledge to extend and adapt their capabilities. This difficulty has been apparent in systems which perform the task of language production, i. e. the...

In the last few years, several works in the literature have addressed the problem of information extraction from text documents. The importance of this problem derives from the fact that, once extracted, the information can be handled in a way similar to instances of a traditional database. But, most of the information extraction systems assume that the texts are having only precise concepts an...

Distantly supervised approaches have become popular in recent years as they allow training relation extractors without textbound annotation, using instead known relations from a knowledge base and a large textual corpus from an appropriate domain. While state of the art distant supervision approaches use off-theshelf named entity recognition and classification (NERC) systems to identify relatio...