[PDF] Top 20 Automatic Gap fill Question Generation from Text Books

... an automatic question generation system that can generate gap-fill questions for content in a ...document. Gap-fill questions are fill-in-the-blank questions with ... See full document

... the gap-phrase, we used the word2vec tool (Mikolov et ...the text- book used, we implemented a TF-IDF search en- gine through the gensim python package ( ˇReh˚uˇrek and Sojka ...Biology text- book ... See full document

... in automatic question generation (AQG) for educational purposes dating back to the Autoquest system [6], which used an entirely syntactic approach to generate Wh-questions, from individual ... See full document

... expository text, compre- hension is improved by pausing to answer questions that reinforce the ...an automatic question generator that uses semantic pattern recognition to create questions of varying ... See full document

... the Text-to-Question generation task, a QG system is given a text, and the goal is to generate a set of questions for which the text contains ...a question about a given ... See full document

... The text is then translated into semantic representation by the Natural Language Understanding ...information from the Audio-Visual Sensing module and links certain observations to higher-level nonverbal ... See full document

... generate gap-fill questions, a set of meaningful sentences are needed ...selected from a larger source, ...directly from subject matter experts. Step 2 - Candidate Generation: This step ... See full document

... Question generation has been described as a dia- logue and discourse task, drawing on both Natu- ral Language Understanding and Natural Language Generation (Rus et ...state-of-the-art question ... 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

... Question Generation is an important component in dialogue systems, virtual environments, and learning technologies such as Intelligent Tutoring Systems, inquiry-based environments, and instructional ...a ... 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

... questions from documentary videos, utilizing the subtitles accompanying a ...the text with linguistic information in the form of annotations, which is exploited in the subsequent ...the text and ... See full document

... on-line text to learn about new ...line text. Prior work on question generation has focused on the grammaticality of generat- ed questions and generating effective multi- ple-choice ... See full document

... a Question and Answer Generating System based on the approach of Natural Language ...a text input is given, this system deeply analyzes the text content and generates a set of questions and suitable ... See full document

... Discourse connectives play a vital role in mak- ing the text coherent. They connect two clauses or sentences exhibiting discourse relations such as temporal, causal, elaboration, contrast, result, etc. Discourse ... See full document

... Automatic question generation (QG) is a chal- lenging problem in natural language under- ...a question and its corresponding ...monolingual text but only a small QG ...new ... 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

... of Automatic Question Generation (QG) caught the attention of NLP re- searchers from across the ...globe. Automatic QG has been defined as ”the task of automatically gen- erating ... See full document

... 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

... entities from the input a tool is ...entities from the ...systems, text summarization, question answering, text classification ...entities from the ... See full document