[PDF] Top 20 Domain Specific Automatic Question Generation from Text

... AQG is one of the challenging problems in natural language processing especially when semantic analysis is needed to generate comprehensive questions like how and why. To the best of our knowledge, AQG approaches in ... See full document

... of question generation sys- ...the question and the tail serves as the ...questions from images rather than ...generative domain-adaptive networks, which perform question ... See full document

... interactive question-answering systems (see section ...canned text on dialogue cards [5], break down the dialogue representation into frames and then techniques from spo- ken dialogue systems [8], or ... See full document

... the specific list of words that form it. This will help our generation algorithm to navigate the knowledge base fast and also exploit possibilities of avoiding the generation of the same sentences ... See full document

... words, from input texts, in a vector space which spatially encodes the seman- tic information and meaning of ...separated from unimportant words in this vector ... See full document

... The video used was a documentary on ‘nuclear fusion’ (Horizon, 2005). The experiment consisted of three parts, each corresponding to a 10-minute section of the documentary. The participants were divided into three ... See full document

... Good Question! Statistical Ranking for Question Generation ...of question generation was based on rule based on over generation, then all generated question was ranked ... See full document

... Implementation is the process of converting a new or a revised system design into an operational one. The objective is to put the new or revised system that has been tested into operation while holding costs, risks, and ... See full document

... In the REAP system, users are automati- cally provided with texts to read targeted to their individual reading levels. To find ap- propriate texts, the user’s vocabulary knowledge must be assessed. We describe an ... See full document

... questions by exploiting the named entity information and the predicate argument structures of the sentences (along with semantic roles) present in the given body of texts. The named entities and the semantic role labels ... See full document

... Our approach differs from verb-argument identi- fication or Named Entity (NE) tagging in several re- spects. While previous work on verb-argument se- lection (Pardo et al., 2006; Fan et al., 2010) uses fixed sets ... See full document

... guage generation tasks such as summarisation and paraphrasing, answers play an important role in question ...formed from the same passage based on the choice of the pivotal ...of text ... See full document

... different from previous distractor prepa- ration works, which basically follow an extraction-selection ...extracted from multiple sources, such as GloVe vocabulary (Pennington, Socher, and Manning 2014), ... See full document

... knowledge from large amounts of unstructured or semi-structured ...search, question-answering, ...and domain-specific ontologies have been proposed to help these automated methods in ... See full document

... annotations from existing pedagogical documents. Their QBLS (Question-Based Learning) system does not require a specific annotation tool; instead it uses MS Word templates that rely on pre-defined ... See full document

... Automatic question generation from text is an im- portant yet challenging problem especially when there is limited training data ...for automatic question ... See full document

... QG from sentences and paragraphs has caught the attention of the NLP community in the last few years through the question generation work- shops and the shared task in 2010 (QGSTEC, ...questions ... See full document

... for question generation (QG) which exploit domain ...open domain questions. We hypothesize that a QG sys- tem informed by domain knowledge can ask more important ...on domain ... See full document

... In our work, as we only considered syntactic and lexical features for distractor selection, the selected distractors could be semantically conflicting with themselves or with the key. For example, due to the lack of ... See full document

... Automatic question generation is the process of generating reasonable questions from a given ...manually question generation is a very time consuming process. Question ... See full document