… described in this work is a patternmatching NLP task in which text, parsed or plain, is …
approach to automatic question generation which leverages multiple views of the text. There are …

… provide a more comprehensive taxonomy of question generation tasks from three different
perspectives, ie, the types of the input context text, … [233] leveraged several recent advances in …

… for generating questions from unstructured text including a … of a data set to question
generation and its evaluation through … question generation framework (QGaSP), which leverages …

… of question generation (QG) are not limited to education and assessment. Questions are also
… Syntactic: Syntax-based approaches leverage syntactic features of the input, such as POS …

… preference for generating personalized answers in PQA. Specifically, we first retrieve question-…
Then, we leverage the Gaussian Softmax distribution model to capture latent aspect-level …

… questions is an important challenge for AI. The two tasks of question answering and question
generation … Our selftraining procedure leverages unlabeled text to boost the quality of our …

… , and automatic question generation can greatly facilitate the inclusion of questions in
learning … software and transformation algorithms to create questions. In contrast, the approach …

… automatic question generation approach to partially automate QUD annotation by generating
all potentially relevant questions … leverage the insight that the vocabulary of the generated …

… specifically for text generation. In Chapter 3, we review the related works for neural question
generation. Chapter 4 is … They also leverage the generated questions to enhance existing …

… the challenges of processing long text inputs for question generation. With sentence-level …
2017) are orthogonal to ours and can be leveraged for further performance improvement in …