We tackle the problem of answer type prediction, applying a transition-based neural network parser to understand the syntactic structure of a query and infer the focus word or phrase that contains the correct type. To achive this, we first come up with a framework to combine a dataset of labeled question-answer pairs and a type inventory into a dataset to learn types. Second, we fit a sigmoid p...

This paper presents a question classification scheme and a corresponding annotated corpus of consumer health questions. While most medical question classification methods have targeted medical professionals, the 13 question types we present are targeted toward disease questions posed by consumers. The corpus consists of 1,467 consumer-generated requests for disease information, containing a tot...

In the current study, it was aimed to determine opinions of primary school class teachers about their question asking skill, questioning strategies and types they use. The study employed survey model, one qualitative research methods. line with purpose interviews were conducted 52 working in state private schools Büyükçekmece district city ?stanbul. data collected a semi-structured interview fo...

This research is case study which was designed to investigate the acquisition of WH-question byPersian and English speaking children between 2 to 4 years old. Four girls and their input wereprecisely analyzed in order to figure how WH-questions are effective in their speaking in theirdaily lives. In the current study the subjects were randomly selected and the matter of gender wasnot considered...

In all domains, including eHumanities, it is crucial to understand how people seek information and what kinds of questions they ask. In this paper, we present an annotation study of domain-specific questions collected from the current leading social Question and Answer site, namely Yahoo! Answers. We define an annotation scheme with 9 question types and additional attributes to identify unclear...