In this paper, we describe our Question Answering System. We proposed to use 200 answer types to abate answer types’ ambiguity in Query Analysis. And as the score of extracting correct answers, we proposed TF・IDF and a word distance between an answer candidate and a weighty word from a query. Comparative experiments were conducted with QAC1 and QAC2 formal run test set. The result showed that 2...

We present a neural model for question generation from knowledge base triples in a “ZeroShot” setup, that is generating questions for triples containing predicates, subject types or object types that were not seen at training time. Our model leverages triples occurrences in the natural language corpus in an encoderdecoder architecture, paired with an original part-of-speech copy action mechanis...

Much current research exalts the benefits of having students facilitate weekly discussions in asynchronous online courses. This study seeks to add to what is known about student moderation through an analysis of the types of questions students use to spur each discussion. Prior experimental work has demonstrated that the types of questions posed by instructors influence the cognitive levels of ...

This paper presents QUANDHO (QUestion ANswering Data for italian HistOry), an Italian question answering dataset created to cover a specific domain, i.e. the history of Italy in the first half of the XX century. The dataset includes questions manually classified and annotated with Lexical Answer Types, and a set of question-answer pairs. This resource, freely available for research purposes, ha...

INTRODUCTION Beginning in 2013, in addition to the 2-item disability question set asked since 2001, Behavioral Risk Factor Surveillance System (BRFSS) began using 5 of the 6 items from the US Department of Health and Human Services-recommended disability question set. We assess and compare disability prevalence using the 2-question and 5-question sets and describe characteristics of respondents...