QUERAI – A Smart Quiz Generator

QUERAI is a website powered by an Artificial Intelligence Question & Answer quiz generator model aiming to enhance students\u27 learning experience and improve teachers\u27 qualitative work by giving them more time to deal with other activities such as assignment correction, general grading, and class preparation

Report on Training of Trainers (TOT) in Tigray Region on Africa RISING Project Validated Technologies/Innovations in the Ethiopian Highland

United States Agency for International Developmen

Virtual pedagogical model: development scenarios

info:eu-repo/semantics/publishedVersio

R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason

Recent studies have revealed that reading comprehension (RC) systems learn to exploit annotation artifacts and other biases in current datasets. This prevents the community from reliably measuring the progress of RC systems. To address this issue, we introduce R4C, a new task for evaluating RC systems' internal reasoning. R4C requires giving not only answers but also derivations: explanations that justify predicted answers. We present a reliable, crowdsourced framework for scalably annotating RC datasets with derivations. We create and publicly release the R4C dataset, the first, quality-assured dataset consisting of 4.6k questions, each of which is annotated with 3 reference derivations (i.e. 13.8k derivations). Experiments show that our automatic evaluation metrics using multiple reference derivations are reliable, and that R4C assesses different skills from an existing benchmark.Comment: Accepted by ACL2020. See https://naoya-i.github.io/r4c/ for more informatio

Training for the Conservation and Planting of Aren Trees in the Dayeuhkolot Village, Sagalaherang Sub- District

Dayeuhkolot Village, in the Sagalaherang Sub-district, Subang District, West Java Province, is striving to become an ecotourism area. One of the products that was intended to be preserved was palm sugar. However, palm trees (Arenga Pinnata) are no longer available in the village. Apart from having economic value, palm trees are important as they are a buffer for the soil since their roots can prevent landslides, which frequently occur at the village during the rainy season. The training program that we implemented to overcome these problems wass the preservation and planting of palm trees. In addition to the training, we also provided 150 palm seeds. To determine the success of tree planting, the team measured the height of the palm trees every month. The results showed that the average growth is 10%. Keywords: conservation, planting, aren tree

The Lumberjack, April 21, 1976

The student newspaper of Humboldt State University.https://digitalcommons.humboldt.edu/studentnewspaper/2953/thumbnail.jp

Basics of ontology modeling in FunGramKB. The case of burn.

El objetivo de este trabajo de investigación es doble. En primer lugar, se analizan las ventajas de un enfoque conceptualista para la representación de significado dentro del marco del sistema de procesamiento de lenguaje natural (PLN) denominado FunGramKB (Periñán y Arcas 2004, 2005, 2006; Periñán y Mairal, 2009ab, 2010, entre muchos otros). FunGramKB soluciona muchos de los problemas encontrados en las bases de datos relacionales en el sentido de que proporciona información morfosintáctica y pragmática sobre las unidades léxicas, evita la dependencia del lenguaje mediante el uso de conceptos y minimiza la redundancia mediante el agrupamiento cognitivo. En segundo lugar, se ofrece una descripción de la modelación ontológica de conceptos relacionados con el verbo de cambio de estado 'quemar'. FunGramKB es una base de conocimiento inestimable que podría servir para el desarrollo de numerosas aplicaciones de procesamiento de lenguaje natural, a saber sistemas inteligentes de pregunta-respuesta o recuperación de información entre lenguas. The aim of the present study is two-fold. Firstly, we discuss the advantages of a conceptual approach to meaning representation within the framework of a multipurpose Natural Language Processing (NLP) system known as FunGramKB (Periñán and Arcas, 2004, 2005, 2006; Periñán and Mairal, 2009ab, 2010, to name a few). FunGramKB solves some of the problems encountered in relational databases in that it provides morphosyntactic and pragmatic information about lexical units, it avoids language dependency by working with concepts and not words, and it minimizes redundancy by cognitive clustering. Secondly, we offer an outline of the ontological modeling of concepts related to the change-of-state verb burn. FunGramKB is an invaluable knowledge base that can be later used for the development of numerous NLP applications, such as intelligent question-answer systems or cross-linguistic information retrieval applications

Living in Space

Operation Liftoff was designed to encourage pupils in the nation's elementary schools to take a greater interest in mathematics and science. Topics addressed include: food, clothing, health, housing, communication, and working. Each unit consists of background information, a teacher printout (lesson plan), and student liftoff (activities) for levels A, B, and C

Report of workshop on evaluation of new health workers in primary health care

노트 : Workshop on Evaluation of New Health Workers Training Program and their Field Performance (29 Aug-1 Sep 1979 : Cheju City, Cheju Island, KR