Automatic Question Generation 2019


Notes:

  • AQG (Automatic Question Generation)
  • Automated question generation
  • Automatic questions generation
  • Question generator

Resources:

See also:

Question Generation Meta GuideQuestion Generation Module


Let’s Ask Again: Refine Network for Automatic Question Generation
P Nema, AK Mohankumar, MM Khapra… – arXiv preprint arXiv …, 2019 – arxiv.org
In this work, we focus on the task of Automatic Question Generation (AQG) where given a passage and an answer the task is to generate the corresponding question. It is desired that the generated question should be (i) grammatically correct (ii) answerable from the passage …

Cross-lingual training for automatic question generation
V Kumar, N Joshi, A Mukherjee… – arXiv preprint arXiv …, 2019 – arxiv.org
Automatic question generation (QG) is a challenging problem in natural language understanding. QG systems are typically built assuming access to a large number of training instances where each instance is a question and its corresponding answer. For a new …

Recent advances in neural question generation
L Pan, W Lei, TS Chua, MY Kan – arXiv preprint arXiv:1905.08949, 2019 – arxiv.org
Page 1. arXiv:1905.08949v3 [cs.CL] 4 Jun 2019 Recent Advances in Neural Question Generation Liangming Pan, Wenqiang Lei, Tat-Seng Chua and Min-Yen Kan School of Computing National University of Singapore Singapore …

A comparative study on question-worthy sentence selection strategies for educational question generation
G Chen, J Yang, D Gasevic – International Conference on Artificial …, 2019 – Springer
Automatic question generation, which aims at converting sentences in an article to high-quality questions, is an important task for educational practices. Recent work mainly focuses on designing …

Bilingual Ontology-Based Automatic Question Generation
B Diatta, A Basse, S Ouya – 2019 IEEE Global Engineering …, 2019 – ieeexplore.ieee.org
Virtual chemical laboratory teaching helps develop and acquire skills. To help to refine the construction of knowledge and the development of such skills, learners need self-evaluation which is an important strategy that helps learners to measure the value or quality of their …

Reinforced dynamic reasoning for conversational question generation
B Pan, H Li, Z Yao, D Cai, H Sun – arXiv preprint arXiv:1907.12667, 2019 – arxiv.org
… In recent years, automatic question generation (QG), which aims to generate natural questions based on a certain type of data sources including structured knowledge bases (Serban et al., 2016b; Guo et al., 2018) and unstructured texts (Rus et al …

Natural question generation with reinforcement learning based graph-to-sequence model
Y Chen, L Wu, MJ Zaki – arXiv preprint arXiv:1910.08832, 2019 – arxiv.org
… Springer, 2018. [16] V. Kumar, G. Ramakrishnan, and Y.-F. Li. A framework for automatic question generation from text using deep reinforcement learning. arXiv preprint arXiv:1808.04961, 2018. [17] M. Kusner, Y. Sun, N. Kolkin, and K. Weinberger …

Improving neural question generation using answer separation
Y Kim, H Lee, J Shin, K Jung – Proceedings of the AAAI Conference on …, 2019 – aaai.org
… 2016). Automatic question generation (QG) from a passage is a challenging task due to the unstructured nature of textual data. One of major issues in NQG is how to take the ques- tion target, referred to as the target answer, in the passage …

A multi-agent communication framework for question-worthy phrase extraction and question generation
S Wang, Z Wei, Z Fan, Y Liu, X Huang – … of the AAAI Conference on Artificial …, 2019 – aaai.org
… Introduction Question generation has attracted attention from the research area of Natural Language Processing in recent years. Given a piece of text, automatic question generation aims to pro- duce questions according to the input content …

Addressing semantic drift in question generation for semi-supervised question answering
S Zhang, M Bansal – arXiv preprint arXiv:1909.06356, 2019 – arxiv.org
Page 1. Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering Shiyue Zhang Mohit Bansal UNC Chapel Hill 1shiyue, mbansall@cs.unc.edu Abstract Text-based Question Generation (QG …

Ask to Learn: A Study on Curiosity-driven Question Generation
T Scialom, J Staiano – arXiv preprint arXiv:1911.03350, 2019 – arxiv.org
Page 1. Ask to Learn: A Study on Curiosity-driven Question Generation Thomas Scialom*‡, Jacopo Staiano‡ * Sorbonne Université, CNRS, LIP6, F-75005 Paris, France ‡ reciTAL, Paris, France {thomas,jacopo}@recital.ai Abstract …

Putting the horse before the cart: A generator-evaluator framework for question generation from text
V Kumar, G Ramakrishnan, YF Li – Proceedings of the 23rd Conference …, 2019 – aclweb.org
… Abstract Automatic question generation (QG) is a use- ful yet challenging task in NLP. Recent neural network-based approaches represent the state- of-the-art in this task … 1 Introduction Automatic question generation (QG) is a very im- portant yet challenging problem in NLP …

A Recurrent BERT-based Model for Question Generation
YH Chan, YC Fan – Proceedings of the 2nd Workshop on Machine …, 2019 – aclweb.org
Page 1. Proceedings of the Second Workshop on Machine Reading for Question Answering, pages 154–162 Hong Kong, China, November 4, 2019. c 2019 Association for Computational Linguistics 154 A Recurrent BERT-based Model for Question Generation …

Question Generation by Transformers
K Kriangchaivech, A Wangperawong – arXiv preprint arXiv:1909.05017, 2019 – arxiv.org
… Kim et al. 2019). In this work, we in- vestigated an automatic question generation system based on a machine learning model that uses transformers instead of RNNs (Vaswani et al. 2017; Wangperawong 2018). Our goal was …

Question Generation from Paragraphs: A Tale of Two Hierarchical Models
V Kumar, R Chaki, ST Talluri, G Ramakrishnan… – arXiv preprint arXiv …, 2019 – arxiv.org
… Abstract Automatic question generation from para- graphs is an important and challenging prob- lem, particularly due to the long context from paragraphs … We analyse the effectiveness of these models for the task of automatic question generation from paragraph …

Learning to generate questions by learningwhat not to generate
B Liu, M Zhao, D Niu, K Lai, Y He, H Wei… – The World Wide Web …, 2019 – dl.acm.org
… ABSTRACT Automatic question generation is an important technique that can improve the training of question answering, help chatbots to start or continue a conversation with humans, and provide assessment materials for educational purposes …

Automated question extraction and tagging for cloud-based online communities
S Jangiti, G Swathi, L Ravi… – … Journal of Web …, 2019 – inderscienceonline.com
… Automated question generation is a key challenge that we face with regard to natural languages in the context of users visited locations, already reviewed places, likes, interests and user experience. In this paper, we have implemented …

Weak supervision enhanced generative network for question generation
Y Wang, J Zheng, Q Liu, Z Zhao, J Xiao… – arXiv preprint arXiv …, 2019 – arxiv.org
… {ytwang, jiyuanz, lqj, zhaozhou, yzhuang}@zju.edu.cn, junx@cs.zju.edu.cn Abstract Automatic question generation according to an an- swer within the given passage is useful for many applications, such as question answering system, dialogue system, etc …

Towards Answer-unaware Conversational Question Generation
M Nakanishi, T Kobayashi, Y Hayashi – … of the 2nd Workshop on Machine …, 2019 – aclweb.org
… These results established that our research direction may be promising, but at the same time re- vealed that the identification of question pat- terns is a challenging issue, and it has to be largely refined to achieve a better quality in the end-to-end automatic question generation …

Hindi Question Generation Using Dependency Structures
K Anuranjana, VA Rao, R Mamidi – arXiv preprint arXiv:1906.08570, 2019 – arxiv.org
… arXiv preprint arXiv:1705.02798, 2017. [Kaur and Bathla, ] Jaspreet Kaur and Ashok Kumar Bathla. Automatic question generation from hindi text using hy- brid approach. [Keikha et al., 2014] Mostafa Keikha, Jae Hyun Park, and W Bruce Croft …

Extended Answer and Uncertainty Aware Neural Question Generation
H Zeng, Z Zhi, J Liu, B Wei – arXiv preprint arXiv:1911.08112, 2019 – arxiv.org
… xjtu.edu.cn Abstract In this paper, we study automatic question generation, the task of creating questions from corresponding text passages where some certain spans of the text can serve as the an- swers. We propose an Extended …

Automatic Question Generation with Classification Based on Mind Map
SF Kusuma, DO Siahaan, C Fatichah… – … 16th International Joint …, 2019 – ieeexplore.ieee.org
In Indonesia’s national education system, a question within a national standardized school examination (Ujian Sekolah Berstandar Nasional, USBN) is generated based on a predetermined grid. A predetermined grid is a matrix that contains a set of criteria that all …

Combination of Statistical and Neural Approaches in the Japanese Question Generation System
L Nio, K Murakami – The Association for Natural Language Processing, 2019 – anlp.jp
… others. It indicates that the voting mechanism manages to select a more natural and comprehensible question. 6 Conclusion A data-driven automatic question generation ap- proach for Japanese text is presented. Experimental …

Q-Genesis: Question Generation System Based on Semantic Relationships
PS Bala, G Aghila – Advances in Big Data and Cloud Computing, 2019 – Springer
… Automatic question generation system is used in educational technologies [13] and dialog systems [14] … Yai et al. [22] extended their work and developed MrsQG for transformation of sentences, sentence decomposition and automatic question generation with ranking …

Rule-Based Automatic Question Generation Using Semantic Role Labeling
O Keklik, T Tuglular, S Tekir – IEICE TRANSACTIONS on …, 2019 – search.ieice.org
This paper proposes a new rule-based approach to automatic question generation. The proposed approach focuses on analysis of both syntactic and semantic structure of a sentence. Although the primary objective of the designed system is question generation from …

Easy-to-Hard: Leveraging Simple Questions for Complex Question Generation
J Zhao, X Deng, H Sun – arXiv preprint arXiv:1912.02367, 2019 – arxiv.org
Page 1. Easy-to-Hard: Leveraging Simple Questions for Complex Question Generation Jie Zhao, Xiang Deng, Huan Sun, The Ohio State University zhao.1359@osu.edu, deng.595@osu.edu, sun.397@osu.edu Abstract This …

Automated Question Generator
M Akash, R Hosen, M Palash, R Hossain – 2019 – dspace.daffodilvarsity.edu.bd
Automated Question Generator is designed to create a Question Bank and generate descriptive as well as MCQ at any time while required. We can store descriptive and MCQ with name of the subjects, term and marks. So that we can generate questions randomly …

Question Generator System of Sentence Completion in TOEFL Using NLP and K-Nearest Neighbor
LS Riza, AD Pertiwi, EF Rahman, M Munir… – Indonesian Journal of …, 2019 – ejournal.upi.edu
… Keywords. Automatic question generation, Natural Language Processing, Machine Learning; K-Nearest Neighbor; Education; Learning. Full Text: PDF. References. Agarwal, M., Shah, R., and Mannem, P. (2011). Automatic question generation using discourse cues …

Learning to generate questions with adaptive copying neural networks
X Lu – Proceedings of the 2019 International Conference on …, 2019 – dl.acm.org
… ABSTRACT Automatic question generation is an important problem in natural language processing … 1 INTRODUCTION Automatic question generation has recently received increas- ing attention in the natural language processing (NLP) re- search community …

Let Me Know What to Ask: Interrogative-Word-Aware Question Generation
J Kang, HPS Roman, SH Myaeng – arXiv preprint arXiv:1910.13794, 2019 – arxiv.org
Page 1. Let Me Know What to Ask: Interrogative-Word-Aware Question Generation Junmo Kang? Haritz Puerto San Roman? Sung-Hyon Myaeng School of Computing, KAIST Daejeon, Republic of Korea {junmo.kang, haritzpuerto94, myaeng}@kaist.ac.kr Abstract …

NVR Guess: Automated Question Generation for Honing NonVerbal Reasoning Skills
HM Surana, G Bhatnagar, A Srivastava… – 2019 IEEE Tenth …, 2019 – ieeexplore.ieee.org
Non-verbal reasoning tests allow evaluators to test a diverse set of abilities in students without relying upon, or being limited by, language skills. In this paper, we present an automated system to generate a variety of non-verbal reasoning questions spanning …

Automatic generation of fill?in?the?blank question with corpus?based distractors for e?assessment to enhance learning
B Das, M Majumder, S Phadikar… – Computer Applications …, 2019 – Wiley Online Library
… 11. Generation of the handcrafted assessment item is extremely time?consuming and laborious. However, the system for automatic question generation can leverage the advantage of ITS and active learning framework. To make …

Towards an Automatic Q&A Generation for Online Courses-A Pipeline Based Approach
S Rüdian, N Pinkwart – International Conference on Artificial Intelligence in …, 2019 – Springer
… 609–617 (2010)Google Scholar. 5. Le, N.-T., Shabas, A., McLaren, P.: QUESGEN: a framework for automatic question generation using semantic web and lexical databases. In: Spector, JM, et al. (eds.) Frontiers of Cyberlearning. LNET, pp. 69–89. Springer, Singapore (2018) …

Automated Question Generation System for Genesis
S Lala – 2019 – oastats.mit.edu
Automatic Question Generation systems automatically generate questions from input such as text. This study implements an Automated Question Generation system for Genesis, a program that analyzes text. The Automated Question Generation system for Genesis outputs …

Model-Driven Automatic Question Generation for a Gamified Clinical Guideline Training System
JN Nyameino, BR Ebbesvik, F Rabbi, MC Were… – … on Evaluation of Novel …, 2019 – Springer
Clinical practice guidelines (CPGs) are a cornerstone of modern medical practice since they summarize the vast medical literature and provide care recommendations based on the current best evidence. However, there are barriers to CPG utilization such as lack of …

OntoQuest: An Ontological Strategy for Automatic Question Generation for e-assessment using Static and Dynamic Knowledge
G Deepak, N Kumar… – 2019 Fifteenth …, 2019 – ieeexplore.ieee.org
In modern times, e-learning has become the most convenient environment to attain knowledge about and across various domains. While there are plenty of e-learning resources available across the ever-expanding web, imbibing knowledge is not the only …

Distant Supervised Why-Question Generation with Passage Self-Matching Attention
J Hu, Z Li, R Wu, H Wang, A Liu, J Xu… – … Joint Conference on …, 2019 – ieeexplore.ieee.org
… Besides, a basic classifier is used to judge the quality of these generated questions. Mazidi and Nielsen [4] introduce an automatic question generator using semantic pattern recognition to create questions of varying depth and type for self-study or tutoring …

Automated Question Generation for Delphi Studies
T Sidorenko – 2019 – cord.cranfield.ac.uk
Surveys are a relatively easy and low-cost method for gathering a group opinion on a given subject. Despite there being several survey platforms the adaptation of these platforms for complex Delphi studies still leaves much to be desired.’Qualtrics Delphi Toolkit'(QDT) is a …

Sentence Simplification in context of Automatic Question Generation
D Yarish – 2019 – ucu.edu.ua.s3.amazonaws.com
Automatic question generation is a promising field of research. Sentence simplification is a key to the high-quality question generation. In this work we explore the existing sentence simplification approaches, present an valuable extension to the existing sentence …

Automatic Question Generation: A Systematic Review
S Soni, P Kumar, A Saha – International Conference on Advances …, 2019 – papers.ssrn.com
Today’s educational systems need an efficient tool to perform competently assessment of students on their major concepts they learnt from study material. Preparing a set of questions for assessment can be time consuming for teachers while getting questions from external …

Question Generation Based Product Information
K Xiao, X Zhou, Z Wang, X Duan, M Zhang – CCF International Conference …, 2019 – Springer
… 506. 112. 274. 419. 104. Automatic question generation is a research hotspot in the field of natural language processing … Comput. Linguist. 41(1), 1–20 (2015)CrossRefGoogle Scholar. 9. Mazidi, K., Tarau, P.: Infusing nlu into automatic question generation. In: INLG, pp …

Dynamic Question Answer Generator: An Enhanced Approach to Question Generation
R Bhatia, V Gautam, Y Kumar, A Garg – 2019 – academia.edu
… Proposed work Many researchers have been carried out on automatic question generation and software have also been designed. These systems use a set of questions stored in the database and at times, they produce questions using some deduction rules …

Automatic Question Generation With Classification Based On Mind Map
FK Selvia, OS Daniel, F Chastine, FN Mohammad – 2019 – repository.ubaya.ac.id
In Indonesia’s national education system, a question within a national standardized school examination (Ujian Sekolah Berstandar Nasional, USBN) is generated based on a predetermined grid. A predetermined grid is a matrix that contains a set of criteria that all …

Recursive Pedagogy: Automatic Question Generation using Real-time Learning Analytics.
FA Deeb, TJ Hickey – CSEDU (2), 2019 – scitepress.org
In this paper we introduce the notion of Recursive Pedagogy, which is a computer-supported approach to teaching and learning in which students solve problems assigned by an instructor using a Problem Solving Learning Environment, and their attempts to solve that …

Reverse SQL Question Generation Algorithm in the DBLearn Adaptive E-Learning System
K Atchariyachanvanich, S Nalintippayawong… – IEEE …, 2019 – ieeexplore.ieee.org
… B. ALGORITHM FOR AUTOMATED QUESTION GENERATION Using an algorithm to automatically generate questions is a new approach to lighten the instructor’s workload and enhance sustainable e-learning practices for students …

Ontologies for automatic question generation
NH Ibrahim Teo – 2019 – ethos.bl.uk
Assessment is an important tool for formal learning, especially in higher education. At present, many universities use online assessment systems where questions are entered manually into a question bank system. This kind of system requires the instructor’s time and …

Key Phrase Extraction for Generating Educational Question-Answer Pairs
A Willis, G Davis, S Ruan, L Manoharan… – Proceedings of the …, 2019 – dl.acm.org
… Figure 1: With Key Phrase Extraction, any informational passage can be converted into a quiz-like learning module. ABSTRACT Automatic question generation is a promising tool for devel- oping the learning systems of the future …

Automatic Question Generation with Natural Language Processing and Genetic Algorithm
ME Sanap, SN Shelke, SK Kurhade, JJ Mahajan… – IJETT, 2019 – ijett.in
The purpose of this research is to ease the educators work in the process of preparation exam questions and giving them more time to concentrate on teaching materials and strengthen their teaching techniques without being burdened with the exam questions preparations.The area …

Automatic Question Generation based on MOOC Video Subtitles and Knowledge Graph
L Ma, Y Ma – Proceedings of the 2019 7th International Conference …, 2019 – dl.acm.org
With the popularity of MOOCs (Massive Open Online Courses), videos have gradually replaced textbooks as the most common educational resources. Quiz is an important teaching tool in online learning process [1], and manually constructing quiz questions is time …

Detection of Similar Answers to Avoid Duplicate Question in Retrieval-based Automatic Question Generation
YS Choi, KJ Lee – KIPS Transactions on Software and Data …, 2019 – koreascience.or.kr
In this paper, we propose a method to find the most similar answer to the user’s response from the question-answer database in order to avoid generating a redundant question in retrieval-based automatic question generation system. As a question of the most similar …

Question Generation using NLP
K Mhatre, A Thube, H Mahadeshwar… – International Journal of …, 2019 – ijsret.com
… thereby reducing the human error. The automatic question generation is an important research area which is potentially useful in dialogue systems, instructional games, educational technologies etc. II.RELATED WORK In some …

Using Multiple Encoders for Chinese Neural Question Generation from the Knowledge Base
M Chen, J Zhao, M Liu – IOP Conference Series: Materials …, 2019 – iopscience.iop.org
… 1. Introduction Automatic question generation has attracted interest in recent years followed by the increasing interest from the Natural Language Generation (NLG) community [1]. Automatic question generation task has the potential value of question answering (QA) system …

Automated Exam Question Generator Using Genetic Algorithm
BSA Shanthi, LJR Harshitha, K Manasa – 2019 – academia.edu
… The author S. Pandey and K. Rajeswari [2], “Automatic Question Generation Using Software Agents for Technical Institutions,” has proposed “Framework for Automatic Examination Paper Generation System,” is based on generating questions based on Bloom’s taxonomy which …

Learning to Answer by Learning to Ask: Getting the Best of GPT-2 and BERT Worlds
T Klein, M Nabi – arXiv preprint arXiv:1911.02365, 2019 – arxiv.org
… Tassilo Klein1, Moin Nabi1 1SAP Machine Learning Research, Berlin, Germany {tassilo.klein, m.nabi}@sap.com Abstract Automatic question generation aims at the generation of questions from a context, with the corresponding answers being sub-spans of the given passage …

A hybrid approach for automatic generation of named entity distractors for multiple choice questions
R Patra, SK Saha – Education and Information Technologies, 2019 – Springer
Assessment plays an important role in learning and Multiple Choice Questions (MCQs) are quite popular in large-scale evaluations. Technology-enabled learning necessitates a smart assessment….

An ASP based approach to answering questions for natural language text
D Pendharkar, G Gupta – International Symposium on Practical Aspects of …, 2019 – Springer
… The resulting knowledge-base can then be used to perform reasoning with the help of an ASP system. This approach can facilitate many natural language tasks such as automated question answering, text summarization, and automated question generation …

Automatic Gap-Fill Question Generation for Video Lectures
M Egorov – 2019 – uh-ir.tdl.org
… However, manually generating questions is an expensive and time-consuming task. This thesis proposes an automatic question-generation system that can generate gap-fill questions related to the video by using the content of the course textbook …

A Survey of Methods for Automatic Question Paper Generation System
MSR Chim, GV Kale – ijaema.com
… There are two types of AQPGS. A. Automatic Question Selection and Setting Question Paper. B. Automatic Question Generation, Selection and Setting Question Paper. Based on the above two approaches AQPGS are designed …

Ontology-based generation of medical, multi-term MCQs
J Leo, G Kurdi, N Matentzoglu, B Parsia… – International Journal of …, 2019 – Springer
… To provide support for the construction of MCQs, automatic question generation (AQG) techniques were introduced … Related Approaches. Automatic question generation from a variety of structured and unstructured sources is an active research area …

RSQLG: The Reverse SQL Question Generation Algorithm
T Julavanich, S Nalintippayawong… – 2019 IEEE 6th …, 2019 – ieeexplore.ieee.org
… The RSQLG can be implemented in e-learning to enhance sustainable practices and improve learning outcome for students. Keywords-SQL; automated question generator; e-learning; database learning; reverse question generation …

Follow-up Question Generation
Y Mandasari – 2019 – essay.utwente.nl
… 1.3 Outline The rest of the report is structured as follows. Chapter 2 discusses the concept of dialogue systems and automatic question generation. Chapter 3 describes the methodology we use to generate follow-up questions …

Evolutionary Ontology Approach for Sinhala Essay Question Generation
G Amarasinghe, L Ranathunga – 2019 14th Conference on …, 2019 – ieeexplore.ieee.org
… in learning. Automatic question generation is still under research, even manual question generation requires many resources and quality of the questions heavily depends on the person who generates questions. Practise by …

Question Generation with Adaptive Copying Neural Networks
X Lu – 2019 – curve.carleton.ca
… behind our thesis. In this thesis, we aim to automatically generate questions from reviews. To tackle the automatic question generation (QG) task, we proposed a new adaptive copying recurrent neural network model, titled Adaptive Copying Neural Network (ACNN) …

Generating Highly Relevant Questions
J Qiu, D Xiong – arXiv preprint arXiv:1910.03401, 2019 – arxiv.org
… Vishwajeet Kumar, Ganesh Ramakrishnan, and Yuan- fang Li. 2018. A framework for automatic question generation from text using deep reinforcement learn- ing. arXiv: Computation and Language. Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2016 …

E-Question Paper Generation System: A Review
C Sen Gupta, AK Datta, R Datta… – International Journal of …, 2019 – papers.ssrn.com
… p. 1140–4. [2] G-Asks: An Intelligent Automatic Question Generation System for Academic Writing Support by Ming Liu and Rafael A. Calvo … [4] Automatic Question Generation using Discourse Cues by Manish Agarwal_, Rakshit Shah_ and Prashanth Mannem …

SAC-Net: Stroke-Aware Copy Network for Chinese Neural Question Generation
W Li, Q Kang, B Xu, L Zhang – 2019 IEEE International …, 2019 – ieeexplore.ieee.org
… “Question answering and question generation as dual tasks.” arXiv preprint arXiv:1706.02027 (2017). [6] Danon, Guy, and Mark Last. “A syntactic approach to domain-specific automatic question generation.” arXiv preprint arXiv: 1712.09827 (2017). [7] Heilman, Michael …

Ontology-Based System for Automatic SQL Exercises Generation
A Basse, B Diatta, S Ouya – Interactive Mobile Communication …, 2019 – Springer
… Based on their advantages, ontologies are commonly used by several automatic question generation methods. Such methods use classes, individuals and properties in ontologies to mainly generate closed-type questions, especially, multiple choice questions …

Two Birds, One Stone: A Simple, Unified Model for Text Generation from Structured and Unstructured Data
H Shahidi, M Li, J Lin – arXiv preprint arXiv:1909.10158, 2019 – arxiv.org
… textual description. Automatic question generation aims to gener- ate a syntactically correct, semantically meaning- ful and relevant question from a natural language text and a target answer within it (unstructured data). This …

E-QUESTION PAPER GENERATION SYSTEM: A REVIEW
CS Gupta, AK Datta, R Datta, A Das – academia.edu
… p. 1140–4.. [2] G-Asks: An Intelligent Automatic Question Generation System for Academic Writing Support by Ming Liu and Rafael A. Calvo … [4] Automatic Question Generation using Discourse Cues by Manish Agarwal_, Rakshit Shah_ and Prashanth Mannem …

ParaQG: A System for Generating Questions and Answers from Paragraphs
V Kumar, S Muneeswaran, G Ramakrishnan… – arXiv preprint arXiv …, 2019 – arxiv.org
… Automated question generation (QG) systems can help alleviate this problem by learning to gener- ate questions on a large scale efficiently … This approach has in- spired application of sequence-to-sequence learn- ing to automated question generation. Serban et al …

Automated test paper generation using utility based agent and shuffling algorithm
S Abd El-Rahman, AH Zolait – … Journal of Web-Based Learning and …, 2019 – igi-global.com
… In Automatic Question Generation (AQG) field, most of AQG systems focus on the text-to-question task, where a set of content-related questions are generated based on a given text. Usually, the answers to the generated questions are contained in the text (Ci & O’Farrell, nd) …

A library for automatic natural language generation of spanish texts
S García-Méndez, M Fernández-Gavilanes… – Expert Systems with …, 2019 – Elsevier
… Traditionally, nlg focused on text-to-text generation, regarding which many sub-fields existed, such as summarizing, text simplification and automatic question generation. The earliest systems took inputs like words, sentences and even whole texts to produce new text as output …

An Automatic System for Learning and Dialogue Based on Assertions
U Maniscalco, A Messina, P Storniolo – Biologically Inspired Cognitive …, 2019 – Springer
… These statements are automatically acquired and the audio transformed into text using a “speech to text” service (ie Google Cloud Speech-to-Text) 4 . Then, these statements are processed to get a set of questions compatible with them using an automatic question generator …

Conceptual Frame Model For The Presentation Of The Concepts And Rules In Natural Language Interface For Database
M Zhekova, G Totkov – IOP Conference Series: Materials Science …, 2019 – iopscience.iop.org
… When creating an appropriate database of accumulating frame models (AFM), frame questions, and at a later stage a frame model for automatic question generation, it is necessary to build an appropriate structure that allows for both flexibility and easier building of the …

Comparative Study of Different Approaches for Measuring Difficulty Level of Question
A Pathan, P Futane – 2019 – academia.edu
… and Twittie Senivongse \Measuring Difficulty Levels of JavaScript Questions in Question-Answer Community Based on Concept Hierarchy”978-1-5090-4834-2/17/ 31.00 c 2017 IEEE [3] Itziar Aldabe Edurne Martinez \ArikIturri: an Automatic Question Generator Based on …

Development of a web-based question bank for automated question paper generation
M Ahamed – 2019 – lib.buet.ac.bd
… (a) Objectives with specific aims: o To propose a framework for automated question paper repository for examiners. o To develop a software application using web technology for automated question generation where authentication, confidentiality and integrity of the …

Asking the Crowd: Question Analysis, Evaluation and Generation for Open Discussion on Online Forums
Z Chai, X Xing, X Wan, B Huang – … of the 57th Annual Meeting of the …, 2019 – aclweb.org
Page 1. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 5032–5046 Florence, Italy, July 28 – August 2, 2019. c 2019 Association for Computational Linguistics 5032 Asking the …

Generating Linear Programming Questions.
K Boonkasem, T Soonklang… – International Journal of …, 2019 – search.ebscohost.com
… returned. Alsubait, Parisa and Sattler [19] propose an approach to automatic question generation from medical documents based on question templates, which, question templates create by experts analyzed content from article …

Authoring Team Tutors in GIFT: An Automated Tool for Alignment of Content to Learning Objectives
B Bell, K Brawner, E Robson, D Brown… – Proceedings of the 7th …, 2019 – books.google.com
… and automated text generation. She designed and led the development of Eduworks’ automated question generation algorithm, and is currently developing solutions in human-interpretable machine learning. She has multiple …

CALOR-QUEST: generating a training corpus for Machine Reading Comprehension models from shallow semantic annotations
FBC Aloui, D Charlet, G Damnati, J Heinecke… – EMNLP 2019 MRQA …, 2019 – aclweb.org
… help reducing this cost have attracted a lot of attention and can be grouped into two categories: methods based on an automatic translation pro- cess between MRC resources in English and the target language; methods based on an automatic question generation and answer …

Ontology-Based Modelling for Learning on Bloom’s Taxonomy Comprehension Level
A Anikin, O Sychev – Biologically Inspired Cognitive Architectures Meeting, 2019 – Springer
… automatically. To devise a method for automatic question generation on comprehension level we may use another part of Bloom’s definition, that deals with using the material that was communicated without relating it to other material …

Multi-purposed Question Answer Generator with Natural Language Processing
H Desai, MFA Sheikh, SK Sharma – Emerging Trends in Expert …, 2019 – Springer
… to that question automatically. An Automatic Question Generator in which machine automatically generates the question from contests so, it is useful for teachers to prepare a assignment or exercise for students. But in this approach …

CALOR-QUEST: generating a training corpus for Machine Reading Comprehension models from shallow semantic annotations
F Béchet, C Aloui, D Charlet, G Damnati, J Heinecke… – 2019 – hal.archives-ouvertes.fr
… help reducing this cost have attracted a lot of attention and can be grouped into two categories : methods based on an automatic translation pro- cess between MRC resources in English and the target language; methods based on an automatic question generation and answer …

Populating the knowledge base of a conversational agent: human vs. machine
H Rodrigues, L Coheur, E Nyberg – Proceedings of the 34th ACM …, 2019 – dl.acm.org
Page 1. Populating the Knowledge Base of a Conversational Agent: Human vs. Machine Hugo Rodrigues Técnico Lisboa, INESC-ID Lisbon, Portugal hpr@l2f.inesc-id.pt Luisa Coheur Técnico Lisboa, INESC-ID Lisbon, Portugal lcoheur@l2f.inesc-id.pt …

SEMANTIC APPROACH TO SCRIPT CONCORDANCE TEST
M Radovi?, M Toši?, D Miloševi?, M Miloševi?… – unitech-selectedpapers.tugab.bg
… a new trend in question generation that is based on the use of ontologies [10,11]. Consequently, with the usage of Semantic Web, the SCT method can be significantly improved in terms of automatic question generation. Although …

Natural Language Processing based Jaro-The Interviewing Chatbot
J Purohit, A Bagwe, R Mehta… – 2019 3rd …, 2019 – ieeexplore.ieee.org
… C. Automatic Question Generation As storing questions and answers for the interviews is the integral part of the project so is the task to make the questions dynamic … We added the process of automatic question generation from a set of paragraphs from the latest technologies …

3Q: A 3-Layer Semantic Analysis Model for Question Suite Reduction
W Dai, S Sheni, T Hei – … Conference on Intelligent Science and Big Data …, 2019 – Springer
… 13(6), 522–526 (1996)MathSciNetCrossRefGoogle Scholar. 11. Ming, L., Calvo, RA, Rus, V.: Automatic question generation for literature review writing support. In: Intelligent Tutoring Systems, International Conference, ITS, Pittsburgh, PA, USA, June 2010Google Scholar. 12 …

Student Testing and Monitoring System (Stms) Using Nlp.
M Saad, S Aslam, W Yousaf, M Sehnan… – … Journal of Modern …, 2019 – j.mecs-press.net
… “Semantic Based Automatic Question Generation system uses two techniques named as Semantic Role Labeling and … “Automatic question generation on the basis of the discourse connectives “, content selection and question generation are the two units of this system [14] …

An Ontology-Based Framework as a Foundation of an Information System for Generating Multiple-Choice Questions
P Sirithumgul, P Prasertsilp, W Suksa-Ngiam, L Olfman – 2019 – aisel.aisnet.org
… 29–24, Pittsburgh, PA. Brown, J., Frishkoff, G., Eskenazi, M. 2005. Automatic Question Generation for Vocabulary Assessment … 2004. Automated question generation methods for intelligent English learning systems and its evaluation. Proceedings of ICCE2004, Hong Kong …

A Personalised Approach to Adaptive Tutoring using Machine Learning and Natural Language Processing
S Bhat, SS Nair, S Kadur… – 2019 IEEE Bombay …, 2019 – ieeexplore.ieee.org
… 441-443. [4] R. Shah, D. Shah and L. Kurup, “Automatic Question Generation for Intelligent Tutoring Systems,” 2017 2nd International Conference on Communication Systems, Computing and IT Applications (CSCITA), Mumbai, 2017, pp.127-132 …

VTutor: A Platform for Improving Searchability and Interactivity of Recorded Lectures
D Karunaratna, I Hettiarachchi… – … on Advancements in …, 2019 – ieeexplore.ieee.org
… Apart from this, automatic question generation was carried out using ontology-based strategies … OntoQue [13] is an automatic question generation engine based on domain ontologies which can generate MCQ, true/false questions and fill-in-the-blank questions …

Digital Test Generator and Answer Assessment System
J More, CN Kamble, ML Jain, YD Gaurav – Research and Applications of …, 2019 – ijics.com
… Question Paper Generation System Using Randomization Algorithm”, (IJETR) ISSN: 2321-0869,Volume-2, Issue-12, December 2014 [3] Kovacs, L., Gyöngyösi, E., Bednarik, L., “Development of classification module for automated question generation framework”, Teaching …

Intelligent Recruitment System
C Maddumage, D Senevirathne… – 2019 IEEE 5th …, 2019 – ieeexplore.ieee.org
… And novel approach proposed as Intelligent Recruitment System (IRS) which consist of resume classification and ranking with deep learning alongside with NLP techniques, Automatic question generation(AQG) system which measure technical proficiency of an applicant using …

Development of. Net Based Application
M Miah, MR Hossain, G Shahriar – 2019 – dspace.daffodilvarsity.edu.bd
Page 1. Development of .Net Based Application: Automatic Question Generator BY Md. Shamrat Miah ID: 162-15-7969 … v LIST OF FIGURES FIGURES Figure 3.1 Business Process Modeling of Automatic Question Generator PAGE NO 7 Figure 3.2 Question Generation process …

Using Automatic Item Generation to Create Content for Computerized Formative Assessment
Z Xinxin – 2019 – era.library.ualberta.ca
Page 1. Using Automatic Item Generation to Create Content for Computerized Formative Assessment by Xinxin Zhang A thesis submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Measurement, Evaluation and Cognition …

AUTOMATIC TEST ITEM GENERATION FROM KNOWLEDGE STRUCTURE
E Aggrey – 2019 – dt.athabascau.ca
Page 1. ATHABASCA UNIVERSITY AUTOMATIC TEST ITEM GENERATION FROM KNOWLEDGE STRUCTURE BY EBENEZER KOFI AGGREY A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL …

Automated document tagging and newsletter generation using natural language processing and machine learning
SA OBANDO MAYORAL – 2019 – politesi.polimi.it
Page 1. 1 POLITECNICO DI MILANO Master of Science in Computer Science and Engineering Dipartimento di Elettronica, Informazione e Bioingegneria Automated document tagging and newsletter generation using natural language processing and machine learning …

Entropy as a proxy for gap complexity in open cloze tests
M Felice, P Buttery – Proceedings of the International Conference on …, 2019 – aclweb.org
… 2005. Automatic question generation for vocabulary assessment. In Proceedings of the Con- ference on Human Language Technology and Em- pirical Methods in Natural Language Processing, HLT ’05, pages 819–826, Stroudsburg, PA, USA …

Evaluation of auto-generated distractors in multiple choice questions from a semantic network
L Zhang, K VanLehn – Interactive Learning Environments, 2019 – Taylor & Francis
… International Experiences & Directions Workshop on Owl. [Google Scholar]; Brown, Frishkoff, & Eskenazi, 2005 Brown, JC, Frishkoff, GA, & Eskenazi, M. (2005). Automatic question generation for vocabulary assessment. Paper …

A Semiautomated Question Paper Builder Using Long Short-Term Memory Neural Networks
R Subramanian, AP Patil, K Ganesan… – Emerging Research in …, 2019 – Springer
… 7. Divate, M., & Salgaonkar, A. Automatic question generation approaches and evaluation techniques.Google Scholar. Copyright information. © Springer Nature Singapore Pte Ltd. 2019. Authors and Affiliations. Rajarajeswari …

Neural Text Generation from Structured and Unstructured Data
H Shahidi – 2019 – uwspace.uwaterloo.ca
… Figure 1.1 shows an example of a biographic infobox form this dataset. Automatic question generation aims to generate a syntactically correct, semantically mean- ingful and relevant question from a natural language text and a target answer within it (unstruc- tured data) …

An Intelligent Testing Strategy for Vocabulary Assessment of Chinese Second Language Learners
W Zhou, R Hu, F Sun, R Huang – … Workshop on Innovative Use of NLP …, 2019 – aclweb.org
… Jonathan C Brown, Gwen A Frishkoff, and Maxine Es- kenazi. 2005. Automatic question generation for vocabulary assessment. In Proceedings of the con- ference on Human Language Technology and Em- pirical Methods in Natural Language Processing, pages 819–826 …

Best practices for the human evaluation of automatically generated text
C Van Der Lee, A Gatt, E Van Miltenburg… – Proceedings of the 12th …, 2019 – aclweb.org
Page 1. Proceedings of The 12th International Conference on Natural Language Generation, pages 355–368, Tokyo, Japan, 28 Oct – 1 Nov, 2019. c 2019 Association for Computational Linguistics 355 Best practices for the human evaluation of automatically generated text …

Answers unite! unsupervised metrics for reinforced summarization models
T Scialom, S Lamprier, B Piwowarski… – arXiv preprint arXiv …, 2019 – arxiv.org
Page 1. arXiv:1909.01610v1 [cs.CL] 4 Sep 2019 Answers Unite! Unsupervised Metrics for Reinforced Summarization Models Thomas Scialom?‡, Sylvain Lamprier‡, Benjamin Piwowarski?‡, Jacopo Staiano? ? CNRS, France …

Automatic identification of questions in MOOC forums and association with self-regulated learning
F Harrak, F Bouchet, V Luengo, R Bachelet – 2019 – hal.archives-ouvertes.fr
… have studied students’ questions in a variety of educational settings, such as classroom [3], tutoring [7] and online learning environments [9]. Graesser and Person [7] developed a taxonomy of questions asked during tutoring sessions to be used for automatic question generation …

Predicting the difficulty of multiple choice questions in a high-stakes medical exam
V Yaneva, P Baldwin, J Mee – … Workshop on Innovative Use of NLP for …, 2019 – aclweb.org
… Loukina et al., 2016). Another area where question-difficulty prediction is discussed is the area of automatic question generation, as a form of evaluation of the output (Alsubait et al., 2013; Ha and Yaneva, 2018). In many cases …

Towards Generating Math Word Problems from Equations and Topics
Q Zhou, D Huang – Proceedings of the 12th International Conference on …, 2019 – aclweb.org
… the given equations. 2 Related Work Automatic question generation from text aims to generate questions taking text as input, which has the potential value of education purpose (Heilman, 2011). Previous question generation …

QuGAN: Quasi Generative Adversarial Network for Tibetan Question Answering Corpus Generation
Y Sun, C Chen, T Xia, X Zhao – IEEE Access, 2019 – ieeexplore.ieee.org
… manual extraction, and converts them into natural language questions. Curto et al. [24] proposed an automatic question generation algorithm based on template matching. In his work, the existing question and answer pairs are …

Discovering cultural differences in online consumer product reviews
Y Wang, Z Wang, D Zhang, R Zhang – Journal of Electronic Commerce …, 2019 – jecr.org
… Ignored textual content. Zhou et al. [2016] US vs. China Used an automatic question generation method and automatic answer extraction to find out frequent and popular aspects from OCRs collected from Amazon websites …

A comparative study of methods for a priori prediction of MCQ difficulty
G Kurdi, J Leo, N Matentzoglu, B Parsia… – Semantic …, 2019 – content.iospress.com
… Keywords: Ontologies, semantic web, automatic question generation, difficulty modelling, difficulty prediction, multiple choice questions, student assessment … For a detailed systematic review of automatic question generation methods, the reader is referred to [4,28] …

Clover Quiz: a trivia game powered by DBpedia
G Vega-Gorgojo – Semantic Web, 2019 – content.iospress.com
… expressions, allowing high-control in the produced stems. Furthermore, an entirely automated question generation pipeline without any configuration step seems unrealistic. Indeed, fully automated approaches normally assume a …

Authoring Conversational Intelligent Tutoring Systems
Z Cai, X Hu, AC Graesser – International Conference on Human-Computer …, 2019 – Springer
… AutoTutor targets deep knowledge and requires deep reasoning questions to achieve the goal [12]. Using automatic question generation techniques, authoring load is reduced from creating questions to selecting and editing questions …

Equipping Educational Applications with Domain Knowledge
T Sakakini, H Gong, JY Lee, R Schloss… – Proceedings of the …, 2019 – aclweb.org
… Educators spend sig- nificant amount of time choosing suitable distrac- tors for MCQs, where the distractors are the incor- rect choices in an MCQ. Moreover, distractor gen- eration is an essential task for automatic question generation …

Dialogue Systems for the Assessment of Language Learners’ Productive Vocabulary
D Tellols, H Nishikawa, T Tokunaga – Proceedings of the 7th …, 2019 – dl.acm.org
… [2] Jonathan C Brown, Gwen A Frishkoff, and Maxine Eskenazi. 2005. Automatic question generation for vocabulary assessment. In Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing …

A Multi-language Platform for Generating Algebraic Mathematical Word Problems
V Liyanage, S Ranathunga – 2019 14th Conference on …, 2019 – ieeexplore.ieee.org
Page 1. 2019 IEEE 14th International Conference on Industrial and Information Systems (ICIIS), 18-20 Dec., Peradeniya, Sri Lanka A Multi-language Platform for Generating Algebraic Mathematical Word Problems Vijini Liyanage …

A Model for Capturing Tacit Knowledge in Enterprises
Y Soliman, H Vanharanta – … Conference on Applied Human Factors and …, 2019 – Springer
… 7. Liu, M., Calvo, RA, Rus, V.: Automatic question generation for literature review writing support. Lect. Notes Comput. Sci … PART 1, pp. 45–54 (2010)Google Scholar. 8. Bednarik, L., Kovács, L.: Implementation and assessment of the automatic question generation module …

My Turn To Read: An Interleaved E-book Reading Tool for Developing and Struggling Readers
N Madnani, BB Klebanov, A Loukina… – Proceedings of the 57th …, 2019 – aclweb.org
… We plan to continue our work on automated question generation which will help shorten the turn-around time for adding new books … Michael Flor and Brian Riordan. 2018. A Semantic Role-based Approach to Open-Domain Automatic Question Generation …

My Buddy App: Communications between Smart Devices through Voice Assist
MG Patel, MK Patil – 2019 – academia.edu
Page 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 07 | July 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2138 …

Predicting the difficulty of multiple choice questions in a high-stakes medical exam
L Ha, V Yaneva, P Balwin, J Mee – 2019 – wlv.openrepository.com
… Loukina et al., 2016). Another area where question-difficulty prediction is discussed is the area of automatic question generation, as a form of evaluation of the output (Alsubait et al., 2013; Ha and Yaneva, 2018). In many cases …

Fuzzy Inference Model for Determining the Question Difficulty Level within Adaptive e-Assessment Instructional Systems
O Salazar, DA Ovalle… – 2019 XIV Latin American …, 2019 – ieeexplore.ieee.org
… J. Comput. Assist. Learn. 26, 549–562 (2010). [4] Singhal, R., Goyal, S., Henz, M.: User-Defined Difficulty Levels for Automated Question Generation. In: 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI). pp. 828–835. IEEE (2016) …

My Turn To Read: An Interleaved E-book Reading Tool for Developing and Struggling Readers
NMBB Klebanov, ALBG JohnSabatini, PLM Flor – ACL 2019, 2019 – aclweb.org
… We plan to continue our work on automated question generation which will help shorten the turn-around time for adding new books … Michael Flor and Brian Riordan. 2018. A Semantic Role-based Approach to Open-Domain Automatic Question Generation …

Original E-Assessment Methods
L Stanescu, M Brezovan – Handbook of Research on E-Assessment …, 2019 – igi-global.com
… audio, or video) to produce content that learners access via internet. Automatic Question Generation: Generating questions with the help of the computer without man intervention. Complete Chapter List. Search this Book: Reset …

Analysis of Smart E-learning Application based on various Design Aspects in IoT and ANN Model
MRM Veeramanickam, NM Sundaram… – … PhD Colloquium on …, 2019 – ieeexplore.ieee.org
… ELearning Application design aspects are studied based on the Internet of Things. Classroom notes collected in real-time scenarios and shared among user using IoT. Implemented automated question generation for assessments using stored digital notes …

What Do You MeanWhy?’: Resolving Sluices in Conversations
VPB Hansen, A Søgaard – arXiv preprint arXiv:1911.09478, 2019 – arxiv.org
Page 1. What Do You Mean ‘Why?’: Resolving Sluices in Conversations Victor Petrén Bach Hansen,1 2 Anders Søgaard1 3 1Department of Computer Science, University of Copenhagen, Denmark 2Topdanmark A/S, Denmark …

Bob-A General Culture Game with Voice Interaction
M Filimon, A Iftene, D Trandab?? – Procedia Computer Science, 2019 – Elsevier
… [2] Aldabe, I., Lopez, d. LM, Maritxalar, M., Martinez, E., and Uria, L. (2006) “ArikIturri: An Automatic Question Generator Based on Corpora and NLP Techniques” … [17] Mazidi, K., and Nielsen, R. (2014) “Linguistic considerations in automatic question generation” …

Text mining in education
R Ferreira?Mello, M André, A Pinheiro… – … : Data Mining and …, 2019 – Wiley Online Library
Abstract The explosive growth of online education environments is generating a massive volume of data, specially in text format from forums, chats, social networks, assessments, essays, among other…

RemedialTutor: A blended learning platform for weak students and study its efficiency in social science learning of middle school students in India
DR Ch, SK Saha – Education and Information Technologies, 2019 – Springer
… These values indicate that the difference is statistically significant. Keywords. Computer assisted learning Blended learning Efficacy of CAL Questionable sentence identification Automatic question generation and evaluation Natural language processing. 1 Introduction …

Using Games and Smart Devices to Enhance Learning Geography and Music History
M Filimon, A Iftene, DM Trandab?? – 2019 – aisel.aisnet.org
… 233-255 (2014) 2. Aldabe, I., Lopez, d. LM, Maritxalar, M., Martinez, E., Uria, L.: ArikIturri: An Automatic Question Generator Based on Corpora and NLP Techniques … 105–114 (2013) 22. Mazidi, K., Nielsen, R.: Linguistic considerations in automatic question generation …

Question Classification for Health Care Domain Using Rule Based Approach
S Agrawal, N Mishra – International Conference on Innovative Data …, 2019 – Springer
… In: 2016 Pacific, IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) AISSMS, Pune, India, 19–21 December 2016Google Scholar. 2. Kim, M., Kim, H.: Design of question answering system with automated question generation …

From Students’ Questions to Students’ Profiles in a Blended Learning Environment
F Harrak, F Bouchet, V Luengo – Journal of Learning Analytics, 2019 – epress.lib.uts.edu.au
… cognitive processes) required for answering them. Graesser and Person (1994) developed a taxonomy of questions asked during tutoring sessions to be used for automatic question generation. Although their taxonomy could be …

Computerized Analysis of Students’ Ability to Proc~ Information in the Area of Basic Electricity
K Grol, VL Pollat, C von Rhoneck – Duit/Goldberg/Niedderer (Eds.) … – researchgate.net
Page 296. 296 Grob, Pollak, RhOneck Computerized Analysis of Students’ Ability to Proc~ Information in the Area of Basic Electricity Karl Grol, Victor L. Pollat2, and Christoph von Rhoneck 1 1 Piidagogische Hochschule Ludwigsburg …

T4E 2019
P Chavan, R Mitra, A Raina, S Murthy, MJ Srinivas… – computer.org
… Khushi Khanchandani (KJ SOMAIYA COLLEGE OF ENGINEERING), Shweta, Dhawan Chachra (KJ SOMAIYA COLLEGE OF ENGINEERING), and Amrita, Naiksatam (KJ SOMAIYA COLLEGE OF ENGINEERING),ix, , , , ,NVR Guess: Automated Question Generation for Honing …

Towards Content Improvement on Community Driven Question Answering Platforms: A Stack Overflow Case Study
R Gupta – 2019 – web2py.iiit.ac.in
Page 1. Towards Content Improvement on Community Driven Question Answering Platforms: A Stack Overflow Case Study Thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering by Research by …

Um sistema gerador de respostas enganadoras para questões de exame
JRM Fontes – 2019 – recipp.ipp.pt
… Keywords: Natural Language Processing (NLP), Golang, Automatic Question Generation (AQG), Neural Networks (NN) Page 5. Page 6. v Acknowledgement … 46 Page 13. Page 14. xiii List of Acronyms AQG Automatic Question Generation. CBOW Continuous Bag-of-Words …

MLQA: Evaluating cross-lingual extractive question answering
P Lewis, B O?uz, R Rinott, S Riedel… – arXiv preprint arXiv …, 2019 – arxiv.org
Page 1. MLQA: Evaluating Cross-lingual Extractive Question Answering Patrick Lewis*† Barlas O?guz* Ruty Rinott* Sebastian Riedel*† Holger Schwenk* *Facebook AI Research †University College London {plewis,barlaso,ruty,sriedel,schwenk}@fb.com Abstract …

NAMED ENTITY RECOGNITION USING BIDIRECTIONAL LSTM-CRF METHODS IN INDONESIAN TEXT
H Permana, KK Purnamasari – elibrary.unikom.ac.id
… Research on NER has been carried out in Indonesian. One of them is research that use the HMM method in the case of automatic question generation [2] with the accuracy of 42.54%. The low accuracy in the study was duet o ambiguous words that were not detected …

Using episodic memory for user authentication
SS Woo, R Artstein, E Kaiser, X Le… – ACM Transactions on …, 2019 – dl.acm.org
… In this article, we extend our prior work to add additional implementation, provide more details on automatic question generation, improve our evaluation of LEPs’ security, and eval- uate resistance to guessing by family or very close friends …

Speech Enabled Visual Question Answering using LSTM and CNN with Real Time Image Capturing for assisting the Visually Impaired
AP Patil, A Behera, P Anusha… – TENCON 2019-2019 …, 2019 – ieeexplore.ieee.org
… and image segmentation. A few of the contributions are generic end-to-end QA model, an automatic question generation algorithm that converts description sentences into questions and a new QA dataset. Question generation …

Cloze Test and C-test Revisited: Appraising Collocational Competence on Second Language Learners’ Performance
M Hajebi, H Zarei – International Journal of Contemporary Education, 2019 – redfame.com
… Linguistics: System Demonstrations, pages 61–66. Association for Computational Linguistics. Jonathan, CB, Gwen, AF, & Maxine, E. (2005). Automatic Question Generation for Vocabulary Assessment. In HLT ’05: Proceedings of the …

Chat with Bots Intelligently: A Critical Review & Analysis
R Dsouza, S Sahu, R Patil… – … on Advances in …, 2019 – ieeexplore.ieee.org
… doi: 10.1109/MS.2018.290101511 [14] Che-Hao Lee1, Tzu-Yu Chen1, Liang-Pu Chen2, Ping-Che Yang2, Richard Tzong-Han Tsai1, “Automatic Question Generation from Children’s Stories for Companion Chatbot” in 2018 IEEE International Conference on Information Reuse …

Development of an Online Patient Service
R Islam – 2019 – dspace.daffodilvarsity.edu.bd
… 4.1 Overview of Design and Development We develop Automated Question Generator using Microsoft Platform. We use Microsoft .Net … 5.1 Implementation of Database We develop Automated Question Generator using Microsoft Platform. We use Microsoft .Net …

Linking text readability and learner proficiency using linguistic complexity feature vector distance
X Chen, D Meurers – Computer Assisted Language Learning, 2019 – Taylor & Francis
How can we identify authentic reading material that matches the learner’s proficiency and fosters their language development? Traditionally, this involves assigning a one-dimensional label to the t…

Agreement is overrated: A plea for correlation to assess human evaluation reliability
J Amidei, P Piwek, A Willis – 2019 – oro.open.ac.uk
Page 1. Open Research Online The Open University’s repository of research publications and other research outputs Agreement is overrated: A plea for correlation to assess human evaluation reliability Conference or Workshop Item How to cite …

CloseUp—A Community-Driven Live Online Search Engine
CV Der Weth, A Abdul, AR Kashyap… – ACM Transactions on …, 2019 – dl.acm.org
Page 1. 39 CloseUp—A Community-Driven Live Online Search Engine CHRISTIAN VON DER WETH, ASHRAF ABDUL, ABHINAV R. KASHYAP, and MOHAN S. KANKANHALLI, National University of Singapore Search engines …

Interactive Question-Posing System for Robot-Assisted Reminiscence from Personal Photos
YL Wu, E Gamborino, LC Fu – IEEE Transactions on Cognitive …, 2019 – ieeexplore.ieee.org
Page 1. 2379-8920 (c) 2019 IEEE. Personal use is permitted, but republication/ redistribution requires IEEE permission. See http://www.ieee.org/ publications_standards/publications/rights/index.html for more information. This …

Eliciting new Wikipedia users’ interests via automatically mined questionnaires: For a warm welcome, not a cold start
R Yazdanian, L Zia, J Morgan, B Mansurov… – Proceedings of the …, 2019 – aaai.org
Page 1. Proceedings of the Thirteenth International AAAI Conference on Web and Social Media (ICWSM 2019) Eliciting New Wikipedia Users’ Interests via Automatically Mined Questionnaires: For a Warm Welcome, Not a Cold Start …

Knowledge Based Chatbot with Context Recognition
RA Wijaya, EM Kusumaningtyas… – 2019 International …, 2019 – ieeexplore.ieee.org
… [14] Che-Hao Lee, Automatic Question Generation from Children’s Stories for Companion Chatbot, National Central University, 2018. [15] Mohammad Nuruzzaman. 2018, A Survey on Chatbot Implementation in Customer Service Industry through Deep Neural Networks …

Trends in integration of vision and language research: A survey of tasks, datasets, and methods
A Mogadala, M Kalimuthu, D Klakow – arXiv preprint arXiv:1907.09358, 2019 – arxiv.org
… Also, it is expanded to address both multilingual (Gao et al., 2015) and automatic question generation such that description of sentences are converted into questions (Ren et al., 2015a). However, it lacked the natural-language questioning ability of humans …

Engaging Audiences in Virtual Museums by Interactively Prompting Guiding Questions
Z Zhao – arXiv preprint arXiv:1902.03527, 2019 – arxiv.org
Page 1. Engaging Audiences in Virtual Museums by Interactively Prompting Guiding Questions Zhenjie Zhao Hong Kong University of Science and Technology Hong Kong zzhaoao@cse.ust. hk ABSTRACT Virtual museums aim to promote access to cultural artifacts …

Monitoring engagement and motivation across learning environments
B Bell, E Kelsey, B Nye – Proceedings of the 2019 MODSIM World …, 2019 – modsimworld.org
… and commercial applications in intelligent tutoring. She most recently led development of Eduworks’ automated question generation, assessment, and competency alignment algorithms. She holds multiple bachelor’s and master’s …

Making Chatbots More Conversational: Using Follow-Up Questions for Maximizing the Informational Value in Evaluation Responses
P Hilding – 2019 – diva-portal.org
… This is called Automatic question generation (QG) and is at the present considered a very difficult subfield to NLP [6]. Many of the clever digital assistants mentioned earlier are currently able to engage in moderately rich conversations with a human but lack substantially when it …

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language …
K Inui, J Jiang, V Ng, X Wan – Proceedings of the 2019 Conference on …, 2019 – aclweb.org
Page 1. EMNLP-IJCNLP 2019 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing Proceedings of the Conference November 3–7, 2019 Hong Kong, China Page 2 …

Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
A Korhonen, D Traum, L Màrquez – … of the 57th Annual Meeting of the …, 2019 – aclweb.org
Page 1. ACL 2019 The 57th Annual Meeting of the Association for Computational Linguistics Proceedings of the Conference July 28 – August 2, 2019 Florence, Italy Page 2. Diamond Sponsors: Platinum Sponsors: ii Page 3. Gold sponsors: Keiosk Analytics Silver sponsors …

Enriching News Articles with Related Search Queries
D Carmel, Y Fyodorov, S Kuzi, A Mejer… – The World Wide Web …, 2019 – dl.acm.org
… On the other hand, recommending serendipitous queries for content enrichment might be very appealing in our setting. We leave this direction for future work. Another related direction is automatic question generation from some form of input [14, 29] …

A modified ant colony algorithm for personalized learning path construction
V Vanitha, P Krishnan – Journal of Intelligent & Fuzzy Systems, 2019 – content.iospress.com
… Evolutionary Computing approaches have been explored in the educational sector. Researchers have experimented with it to solve highly complex optimisation problems like content sequencing, timetable scheduling and automated question generation …

Personalized recommender system for technology enhanced learning using learners’ metacognitive activities
L Odilinye – 2019 – summit.sfu.ca
… 2017). The third important area of assessment has been previously published. In which automatic question generation 4 Page 16. from text was adapted to an online and self-directed learning platform (Odilinye et al., 2015) …

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