In order to answer question, we propose a matching algorithm that consists in generating and learning inferences needed to rely text passages to pairs (question, candidate answer). We first retrieve relevant passages, through lexical expansion involving WordNet and word vectors, that are enriches by lexico-semantic resources. Then a tree edit model is used on graph representations of the passag...

This paper describes our question answering system at NTCIR-12 on QALab-2 task, which requires solving the history questions of Japanese university entrance exams and their corresponding English translations. Wikipedia of English edition is main external knowledge base for our system. We first retrieve the documents and sentences related to the question from Wikipedia. Then, the classification ...

Beliefs about whether effort pays off govern some of the most fundamental choices individual make. This paper exploit the “lost generation” during China’s Cultural Revolution to understand how these beliefs can be affected, how they are transmitted across generations, how they affect behaviors. During the Cultural Revolution, China’s college admission system based on entrance exams was suspende...

The “Todai Robot Project (Can a robot get into The University of Tokyo?)” was initiated by the National Institute of Informatics in 2011 as an AI grand challenge. The goal of the project was to create an AI system that answered real questions on university entrance examinations consisting of two parts, i.e., multiple-choice style national standardized tests and a written test that included shor...

OBJECTIVE Premature birth is an important factor for mortality and morbidity of neonates. This study was designed to evaluate the outcome of preterm neonates who needed neonatal intensive care (NICU) hospitalization after 6 yr at their entrance to the school. MATERIALS & METHODS This cross sectional study was conducted on premature neonates consecutively hospitalized in NICU of Valie Asr Hosp...

The author investigated whether expressive writing enhances emotional adaptation to a stressful event (graduate entrance exams) by reducing event-related intrusive thoughts or by desensitizing people to such thoughts. Participants in the experimental group, who were instructed to write their deepest thoughts and feelings about the exam, exhibited a significant decline in depressive symptoms fro...

In response to changes in health care, American medical schools are transforming their curricula to cultivate empathy, promote professionalism, and increase cultural competency. Many scholars argue that an infusion of the humanities in premedical and medical training may help achieve these ends. This study analyzes Web-based messaging of Ohio's undergraduate institutions to assess premedical ad...

This paper introduces a benchmark problem library for mechanized math technologies including computer algebra and automated theorem proving. The library consists of pre-university math problems taken from exercise problem books, university entrance exams, and the International Mathematical Olympiads. It thus includes problems in various areas of pre-university math and with a variety of difficu...

This paper describes the methodology for testing the performance of Machine Reading systems through Question Answering and Reading Comprehension Tests. This was the attempt of the QA4MRE challenge which was run as a Lab at CLEF 2011–2013. The traditional QA task was replaced by a new Machine Reading task, whose intention was to ask questions that required a deep knowledge of individual short te...

This paper describes Japanese textual entailment recognition systems for NTCIR-10 RITE2. The tasks that we participated in are the Japanese BC subtask and the ExamBC subtask. Our methods are based on some machine learning techniques with surface level, syntax and semantic features. We use two ontologies, the Japanese WordNet and Nihongo-Goi-Taikei, and Hierarchical Directed Acyclic Graph (HDAG)...