Research in open-domain commonsense reasoning has been hindered by the lack of evaluation metrics for judging progress and comparing alternative approaches. Taking inspiration from large-scale question sets used in natural language processing research, we authored one thousand English-language questions that directly assess commonsense causal reasoning, called the Choice Of Plausible Alternativ...

P methods for choice-based conjoint analysis provide a means to adapt choice-based questions at the individual-respondent level and provide an alternative means to estimate partworths when there are relatively few questions per respondent, as in a Web-based questionnaire. However, these methods are deterministic and are susceptible to the propagation of response errors. They also assume, implic...

The paper presents the possibilities of dynamizing multiple choice tests prepared in the form of MS Word document managed by a VBA macro through the use of Word fields, especially IF fields

BACKGROUND Clinicians making decisions require the ability to self-monitor and evaluate their certainty of being correct while being mindful of the potential consequences of alternative actions. For clinical students, this ability could be inferred from their responses to multiple-choice questions (MCQ) by recording their certainty in correctness and avoidance of options that are potentially un...

The first version of the UIMA-based modular automatic question answering (QA) system was developed for NTCIR11 QA Lab task[5]. The system answers multiple-choice English questions for the Japanese university entrance examinations on the subject of world history. We made improvements in the current system by adding components focused towards Source Expansion and better Semantic Understanding of ...

An automatic generation of multiplechoice questions is one of the promising examples of educational applications of NLP techniques. A machine learning approach seems to be useful for this purpose because some of the processes can be done by classification. Using basic machine learning algorithms as Naive Bayes and K-Nearest Neighbors, we have developed a real-time system which generates questio...

This paper describes our participation to the Entrance Exams Task of CLEF 2015’s Question Answering Track. The goal is to answer multiple-choice questions on short texts. Our system first retrieves passages relevant to the question, through lexical expansion involving WordNet and word vectors. Then a tree edit model is used on graph representations of the passages and answer choices to extract ...

Multi-choice question answering in exams is a typical QA task. To accomplish this task, we present an answer localization method to locate answers shown in web pages, considering structural information and semantic information both. Using this method as basis, we analyze sentences and paragraphs appeared on web pages to get predictions. With this answer localization system, we get effective res...

Fiscal considerations and commitment drive the choice of monetary policy regime, especially for developing countries. I survey the fiscal foundations of price determination, and study the maximize-inflation-tax, interest rate rule, peg and currency board, and dollarization regime. Since nominal debt acts like equity for the government, the dollarization question is like the question whether a f...

This paper describes a multi-choice question answering system we designed for the NTCIR-12 QA Lab[3]. This system aims at analysing and answering world history multi-choice questions in the Japanese National Center Test (in English). Our system utilizes preliminary results from an information retrieval baseline as a starting point, and improves by taking structured knowledge base as well as add...