Automatic generation of basic, factual questions from a single sentence is a problem that has received a considerable amount of attention. Some studies have suggested splitting this problem into two parts: first, decomposing the source sentence into a set of smaller, simple sentences, and then transforming each of these sentences into a question. This paper outlines a novel method for the first...

With increasing popularity of communitybased question answering services such as Yahoo! Answers, huge amounts of user generated questions are available. In this paper, we propose using these data along with search engine query logs to create a question generation shared task that aims to automatically generate questions given a query. At least two benefits could result from such a task. First, ...

A hallmark of human intelligence is the ability to ask rich, creative, and revealing questions. Here we introduce a cognitive model capable of constructing humanlike questions. Our approach treats questions as formal programs that, when executed on the state of the world, output an answer. The model specifies a probability distribution over a complex, compositional space of programs, favoring c...

We explore a novel application of Question Generation (QG) for authentication use, where questions are widely used to verify user identity for online accounts. In our approach, we prompt users to provide a few sentences about their personal life events. We transform user-provided input sentences into a set of simple fact-based authentication questions. We compared our approach with previous QG ...

Large amounts of knowledge exist in the user-generated contents of web communities. Generating questions from such community contents to form the question-answer pairs is an effective way to collect and manage the knowledge in the web. The parser or rule based question generation (QG) methods have been widely studied and applied. Statistical QG aims to provide a strategy to handle the rapidly g...

n today’s age, education is the most important way of achieving success. When we discuss education, it is imperative to mention tests and examination. Examinations prepare students in their quest for knowledge. So, having a proper examination paper and format is quite necessary. Now the traditional method of generating question paper has been manual. In this method certain officials chalk out t...

In this paper we present a question generation approach suitable for tutorial dialogues. The approach is based on previous psychological theories that hypothesize questions are generated from a knowledge representation modeled as a concept map. Our model semi-automatically extracts concept maps from a textbook and uses them to generate questions. The purpose of the study is to generate and eval...

We address the challenge of automatically generating questions from topics. We consider that each topic is associated with a body of texts containing useful information about the topic. Questions are generated by exploiting the named entity information and the predicate argument structures of the sentences present in the body of texts. To measure the importance of the generated questions, we us...

This paper is concerned with automatic generation of all possible questions from a topic of interest. Specifically, we consider that each topic is associated with a body of texts containing useful information about the topic. Then, questions are generated by exploiting the named entity information and the predicate argument structures of the sentences present in the body of texts. The importanc...

Most automatic speech recognition systems are currently based on tied state triphones. These tied states are usually determined by a decision tree. Decision trees can automatically cluster triphone states into many classes according to data available allowing each class to be trained efficiently. In order to achieve higher accuracy, this clustering is constrained by manually generated phonetic ...