Question Generation Systems 2019


Notes:

  • Generative conversational model

Wikipedia:

See also:

Automatic Question Generation 2019Neural Question Generation 2019Question Generation Meta Guide | Question Generation Module


Capturing greater context for question generation
LA Tuan, D Shah, R Barzilay – Proceedings of the AAAI Conference on …, 2020 – ojs.aaai.org
… Our model outperforms the CGC- QG model by an average absolute score 1.3 of Bleu-4, 1.6 of Meteor, and 0.9 of Rouge-L, again demonstrating that ex- ploiting the broader context can help the question generation system better match humans at the task …

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 …

Interconnected question generation with coreference alignment and conversation flow modeling
Y Gao, P Li, I King, MR Lyu – arXiv preprint arXiv:1906.06893, 2019 – arxiv.org
… Take Q2 in Table 1 as an example, traditional question generation system can only generate question like “What was Clinton ineligible to serve?”, while our system with coreference alignment can align the name “Clinton” to its pronominal reference “he” and generate a more …

Accelerating Real-Time Question Answering via Question Generation
Y Fang, S Wang, Z Gan, S Sun, J Liu – arXiv preprint arXiv:2009.05167, 2020 – arxiv.org
Page 1. Accelerating Real-Time Question Answering via Question Generation Yuwei Fang, Shuohang Wang, Zhe Gan, Siqi Sun, Jingjing Liu Microsoft Dynamics 365 AI Research {yuwfan,shuohang.wang,zhe.gan,siqi.sun,jingjl}@microsoft.com Abstract …

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
Question generation is the task of generating a natural question from a given input sentence. This often requires hand-crafted templates or sophisticated NLP pipelines which require extensive labor and expertise to morphologically analyze the sentences and create the NLP …

Automatic Question Generation System for English Reading Comprehension
YC Fung, JCW Kwok, LK Lee, KT Chui – International Conference on …, 2020 – Springer
This paper presents a web-based automatic question generation (AQG) system to generate reading comprehension questions and multiple-choice (MC) questions on grammar from a given English text. Such system saves teachers’ time on setting questions and facilitates …

Question generation
C Room – algorithms, 2020 – devopedia.org
… QG systems need to figure out long-distance dependencies to do this. What’s a typical data pipeline in a question generation system? An example pipeline to generate fill-in-the-blank questions. Source: Aditya S 2018. QG systems can be classified based on the input type …

Q-Genesis: Question Generation System Based on Semantic Relationships
PS Bala, G Aghila – Advances in Big Data and Cloud Computing, 2019 – Springer
The prospect of applying the semantic relationships to the question generation system can revolutionize the learning experience. The task of generating questions from the existing information is a tedious task. In this paper, Question generation system based on semantic …

A Systematic Review of Automatic Question Generation for Educational Purposes
G Kurdi, J Leo, B Parsia, U Sattler… – International Journal of …, 2020 – Springer
While exam-style questions are a fundamental educational tool serving a variety of purposes, manual construction of questions is a complex process that req.

Improving question generation with to the point context
J Li, Y Gao, L Bing, I King, MR Lyu – arXiv preprint arXiv:1910.06036, 2019 – arxiv.org
Page 1. Improving Question Generation With to the Point Context Jingjing Li1? Yifan Gao1? Lidong Bing2 Irwin King1 Michael R. Lyu1 1 Department of Computer Science and Engineering, The Chinese University of Hong Kong …

Multi-hop Question Generation with Graph Convolutional Network
D Su, Y Xu, W Dai, Z Ji, T Yu, P Fung – arXiv preprint arXiv:2010.09240, 2020 – arxiv.org
Page 1. Multi-hop Question Generation with Graph Convolutional Network Dan Su, Yan Xu, Wenliang Dai, Ziwei Ji, Tiezheng Yu, Pascale Fung Center for Artificial Intelligence Research (CAiRE) Department of Electronic and …

Bilingual Ontology-Based Automatic Question Generation
B Diatta, A Basse, S Ouya – 2019 IEEE Global Engineering …, 2019 – ieeexplore.ieee.org
… “Ontology is a structured set of terms and concepts that represent the meaning of a field of information or elements of an area of knowledge” [3]. Nevertheless, proposed ontology-based automatic question generation systems and chemistry ontologies are only available in …

Job Interviewer Android with Elaborate Follow-up Question Generation
K Inoue, K Hara, D Lala, K Yamamoto… – Proceedings of the …, 2020 – dl.acm.org
Page 1. Job Interviewer Android with Elaborate Follow-up Question Generation Koji Inoue Kyoto University Kyoto, Japan inoue@sap.ist.i.kyoto-u.ac.jp Kohei Hara Kyoto University Kyoto, Japan hara@sap.ist.i.kyoto-u.ac.jp Divesh …

Exploring Artificial Jabbering for Automatic Text Comprehension Question Generation
T Steuer, A Filighera, C Rensing – European Conference on Technology …, 2020 – Springer
… arXiv preprint arXiv:1907.00151 (2019). 17. Liu, M., Calvo, RA, Rus, V.: G-asks: an intelligent automatic question generation system for academic writing support. Dialogue Discourse 3(2), 101–124 (2012)CrossRefGoogle Scholar. 18. Mayring, P.: Qualitative content analysis …

Question generation model based on key-phrase, context-free grammar, and Bloom’s taxonomy
BD Wijanarko, Y Heryadi, H Toba… – Education and Information …, 2020 – Springer
Automated question generation is a task to generate questions from structured or unstructured data. The increasing popularity of online learning in recent.

Towards Answer-unaware Conversational Question Generation
M Nakanishi, T Kobayashi, Y Hayashi – … of the 2nd Workshop on Machine …, 2019 – aclweb.org
… That is, QA pairs is basically independent each other. Be- sides, they are generally answer-aware: a question generation system presumes that the correspond- ing answer to a to-be-generated question is being supplied. One …

Weak supervision enhanced generative network for question generation
Y Wang, J Zheng, Q Liu, Z Zhao, J Xiao… – arXiv preprint arXiv …, 2019 – arxiv.org
… More specifically, we devise a discriminator, Relation Guider, to capture the rela- tions between the whole passage and the associated answer and then the Multi-Interaction mechanism is deployed to transfer the knowledge dynamically for our question generation system …

Improving Learning Outcomes with Gaze Tracking and Automatic Question Generation
R Syed, K Collins-Thompson, PN Bennett… – Proceedings of The …, 2020 – dl.acm.org
… Questions are selected from parts of the text which the user had just read, determined using gaze input from an eye tracker. We compare questions that are automatically created from a question generation system to questions that are manually created by humans …

Transformer-based End-to-End Question Generation
LE Lopez, DK Cruz, JCB Cruz, C Cheng – arXiv preprint arXiv:2005.01107, 2020 – arxiv.org
… In this work, we show that transformer-based finetuning tech- niques can be used to create robust question generation systems using only a single pre- trained language model, without the use of ad- ditional mechanisms, answer metadata, and ex- tensive features …

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 …

Reinforced Multi-task Approach for Multi-hop Question Generation
H Chauhan, A Ekbal, P Bhattacharyya – arXiv preprint arXiv:2004.02143, 2020 – arxiv.org
Page 1. Reinforced Multi-task Approach for Multi-hop Question Generation Deepak Gupta?, Hardik Chauhan†, Asif Ekbal?, and Pushpak Bhattacharyya? ?Indian Institute of Technology, Patna, India †Indian Institute of Technology …

Synthetic QA corpora generation with roundtrip consistency
C Alberti, D Andor, E Pitler, J Devlin… – arXiv preprint arXiv …, 2019 – arxiv.org
… This question generation system can be reproduced by simply finetuning a publicly available pretrained BERT model on the extractive subsets of datasets like SQuAD2 and NQ. Fine-tuning We define the p(q|c, a;?Q) model as a left-to-right language model p(q|a, c;?Q) = LQ ? …

QMaps: Engaging Students in Voluntary Question Generation and Linking
I Yeckehzaare, T Barghi, P Resnick – … of the 2020 CHI Conference on …, 2020 – dl.acm.org
… learning activities are challenging for students, and it is hard to maintain their motivation to do the activities. Denny et al. [15] reported on the voluntary use of a question generation system, PeerWise, in a semester-long class; less than 5% of students created any questions …

Can questions summarize a corpus? Using question generation for characterizing COVID-19 research
G Surita, R Nogueira, R Lotufo – arXiv preprint arXiv:2009.09290, 2020 – arxiv.org
… International Journal of Artificial Intelligence in Education, 11 2019. [21] Ming Liu, Rafael A Calvo, and Vasile Rus. G-asks: An intelligent automatic question generation system for academic writing support. Dialogue & Discourse, 3(2):101–124, 2012 …

Toward Subgraph Guided Knowledge Graph Question Generation with Graph Neural Networks
Y Chen, L Wu, MJ Zaki – arXiv preprint arXiv:2004.06015, 2020 – arxiv.org
… More recently, (Kumar et al., 2019) presented a difficulty control- lable multi-hop question generation system from KGs, which directly work on a KG subgraph and thus they are able to generate more complex ques- tions from these subgraphs using transformer-based models …

Unsupervised Common Question Generation from Multiple Documents using Reinforced Contrastive Coordinator
WS Cho, Y Zhang, S Rao, A Celikyilmaz… – arXiv preprint arXiv …, 2019 – arxiv.org
… not able to train the coordinator via MLE methods. Rather, the com- mon question generation system is trained through reinforcement learning to maximize a reward from a ranker. The BERT-based (Devlin et al., 2018a) ranker …

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 …

Question generation through transfer learning
YH Liao, JL Koh – … Conference on Industrial, Engineering and Other …, 2020 – Springer
… In addition, the proposed methods should fit our application scenario in traditional Chinese. A data-driven question generation system for educational purpose has difficulties as following. 1) Proper labeled data is insufficient …

Video Question Generation via Cross-Modal Self-Attention Networks Learning
YS Wang, HT Su, CH Chang, W Hsu – arXiv preprint arXiv:1907.03049, 2019 – arxiv.org
… cost for training Video QA models. As illustrated in Figure 1, the Video Question Generation system takes an input video clip and generates an answerable question based on the clip. Comparing to the text question generation …

Questionator-Automated Question Generation using Deep Learning
A Srivastava, S Shinde, N Patel… – … on Emerging Trends …, 2020 – ieeexplore.ieee.org
… Our Automated Question Generation system aims at au- tomating this process of question generation by providing a end-to-end system which will take the data which may be in the form of image/sentence as input and provide a question as output along with the Distractors …

Factual Question Generation for the Portuguese Language
B Leite, HL Cardoso, LP Reis… – … on INnovations in …, 2020 – ieeexplore.ieee.org
… Commun. ACM, 35:29–38, 12 1992. [22] P Pabitha, M Mohana, S Suganthi, and B Sivanandhini. Automatic question generation system. In 2014 International Conference on Recent Trends in Information Technology, pages 1–5. IEEE, 2014 …

Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus
B Liu, H Wei, D Niu, H Chen, Y He – Proceedings of The Web …, 2020 – dl.acm.org
… while in the meantime ensuring generation quality. Specifically, we have solved multiple challenges in the ACS-aware question generation system: What to ask given an unlabeled passage? Given an input pas- sage such as …

Rule-Based Automatic Question Generation Using Semantic Role Labeling
O Keklik, T Tuglular, S Tekir – IEICE TRANSACTIONS on …, 2019 – search.ieice.org
… (1998) state that learners have a problem with identifying their own knowledge deficits. Therefore, they ask very few questions. Automation of question generation systems can help learners to find out their own knowledge gaps by helping them to reach their valuable inquiries …

Question Generation using NLP
K Mhatre, A Thube, H Mahadeshwar… – International Journal of …, 2019 – ijsret.com
… 566X ideas for future work, including using question generation for question answering. V.IMPLEMENTATION In our factoid question generation system, individual sentences are used from an input text document. Firstly, we …

NVR Guess: Automated Question Generation for Honing NonVerbal Reasoning Skills
HM Surana, G Bhatnagar, A Srivastava… – 2019 IEEE Tenth …, 2019 – ieeexplore.ieee.org
… II. DESIGNING THE AUTOMATED QUESTION GENERATION SYSTEM FOR NON-VERBAL REASONING The NVR question generation system has five principal components: a Driver script that interacts with a Question 210 …

Mvgen: Multi Version Question Generation for Math Courses
I Brito, JJ Almeida, GJ Machado – Open Education Studies, 2019 – degruyter.com
… This paper is organized as follows. In section 2, the language of the question generation system Mvgen is described. Section 3 contains examples of question types built in Mvgen. Finally, in section 4, some conclusions are presented. 2 Language …

Automatic Question Generation with Classification Based on Mind Map
SF Kusuma, DO Siahaan, C Fatichah… – … 16th International Joint …, 2019 – ieeexplore.ieee.org
… There are also three studies related to the question generation that use English, namely automatic/smart question generation system for the academic purpose [11], automatic question generation from paragraph [12], and automatic generation-based questions on analysis of …

Transformer-based End-to-End Question Generation
L Enrico Lopez, DK Cruz, JC Blaise Cruz, C Cheng – arXiv, 2020 – ui.adsabs.harvard.edu
… In this work, we show that transformer-based finetuning techniques can be used to create robust question generation systems using only a single pretrained language model, without the use of additional mechanisms, answer metadata, and extensive features …

Exploring Artificial Jabbering For Automatic Text Comprehension Question Generation
C Rensing – kom.e-technik.tu-darmstadt.de
… arXiv preprint arXiv:1907.00151 (2019) 17. Liu, M., Calvo, RA, Rus, V.: G-asks: An intelligent automatic question generation system for academic writing support. Dialogue & Discourse 3(2), 101–124 (2012) 18. Mayring, P.: Qualitative content analysis …

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 …

Evolutionary Ontology Approach for Sinhala Essay Question Generation
G Amarasinghe, L Ranathunga – 2019 14th Conference on …, 2019 – ieeexplore.ieee.org
… points in the answer. It is not possible to generate essay type questions by following approaches which are being followed in some factoid question generation systems. First need to identify a question concept. It is nothing but …

Neural Question Generation with Transfer Learning and Utilization of External Knowledge
M Delpisheh – 2020 – yorkspace.library.yorku.ca
Page 1. NEURAL QUESTION GENERATION WITH TRANSFER LEARNING AND UTILIZATION OF EXTERNAL KNOWLEDGE MARJAN DELPISHEH A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL …

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]. Automatic question generation task has the potential value of question answering (QA) system, reading comprehension [2]. Many prior works mainly applied extraction or transformation rules to generate questions [1]. Mitkov [3] developed a question generation system …

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 …

Automatic Question Generation: A Systematic Review
S Soni, P Kumar, A Saha – International Conference on Advances …, 2019 – papers.ssrn.com
… Various approaches of Question generation system mainly generate factual question like who, When, where, why and what. Yao et al … The Question Generation system presented by the author provides questions of high quality linguistically and semantically …

Automated question extraction and tagging for cloud-based online communities
S Jangiti, G Swathi, L Ravi… – … Journal of Web …, 2019 – inderscienceonline.com
… experience. In this paper, we have implemented an automatic question generation system that comprises of part-of-speech (POS) tagger, text-to-question generation task using syntactic analysis and a named entity extraction …

Automatic Question Generation With Classification Based On Mind Map
FK Selvia, OS Daniel, F Chastine, FN Mohammad – 2019 – repository.ubaya.ac.id
… There are also three studies related to the question generation that use English, namely automatic/smart question generation system for the academic purpose [11], automatic question generation from paragraph [12], and automatic generation-based questions on analysis of …

Optimization of an Automated Examination Generation System Using Hybrid Recurrent Neural Network
D Datta, R Agarwal, I Tuteja, VB Vedula… – International Journal of …, 2020 – papers.ssrn.com
… However, the models that are known and are used widely, do not provide high accuracies. This work aims to create an optimized and automated examination questions generation system that can be used by the teachers to create several questions at a single go …

RNN based question answer generation and ranking for financial documents using financial NER
H Jayakumar, MS Krishnakumar, VVV Peddagopu… – S?dhan?, 2020 – Springer
… for financial articles online. We have developed a system which generates a set of financial questions given a text by adding our NER on top of existing deep-learning- based question generation systems. We have also developed …

Key Phrase Extraction for Generating Educational Question-Answer Pairs
A Willis, G Davis, S Ruan, L Manoharan… – Proceedings of the …, 2019 – dl.acm.org
… scalable applications of question generation. We describe and implement an end-to-end neural question generation system that generates question and answer pairs given a context paragraph only. We accomplish this by first …

E-QUESTION PAPER GENERATION SYSTEM: A REVIEW
CS Gupta, AK Datta, R Datta, A Das – academia.edu
… Proc 3rd International Conference on Education, Management, Arts, Economics and Social Science; 2016. p. 1140–4.. [2] G-Asks: An Intelligent Automatic Question Generation System for Academic Writing Support by Ming Liu and Rafael A. Calvo …

Generating question-answer hierarchies
K Krishna, M Iyyer – arXiv preprint arXiv:1906.02622, 2019 – arxiv.org
… We then condition a neural question generation system on these two classes, which enables us to generate both types of questions from a paragraph. We filter and structure these outputs using the techniques described in Section 3 …

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
… Finally, a corpus?based distractor selection technique is illustrated to generate multiple?choice fill?in?the?blank test items. A graphical representation of the proposed fill?in?the?blank questions generation system is depicted in Figure 1 …

Multiple Domain Question-Answer Generation
K Lu – 2019 – digitalassets.lib.berkeley.edu
… information in the sentence. We additionally apply domain adaptation methods to both the answer extraction system and the question generation system to improve performance over multiple domains. Answer Span Extraction …

A FRAMEWORK FOR AUTOMATICALLY GENERATING QUESTIONS FOR TOPICS IN DISCRETE MATHEMATICS
S Houshvand – 2020 – thescholarship.ecu.edu
… approaches to automated question generation, we conclude that most of the current systems use natural language process techniques to extract questions from the text, therefore, other topics such as mathematics are lacking an automated question generation system that could …

Automating Question Generation Given the Correct Answer
H Cao – 2020 – diva-portal.org
Page 1. DEGREE PROJECT IN COMPUTER SCIENCE AND ENGINEERING, SECOND CYCLE, 30 CREDITS STOCKHOLM, SWEDEN 2020 Automating Question Generation Given the Correct Answer HAOLIANG CAO KTH ROYAL INSTITUTE OF TECHNOLOGY …

Focused Questions and Answer Generation by Key Content Selection
S Gangopadhyay, SM Ravikiran – 2020 IEEE Sixth International …, 2020 – ieeexplore.ieee.org
… It is a huge dataset and is constructed by man- ually annotating the passages and question pairs which play a crucial role in developing question generation systems. We too adopt the same for our model training and evaluation …

E-Question Paper Generation System: A Review
C Sen Gupta, AK Datta, R Datta… – International Journal of …, 2019 – papers.ssrn.com
… Proc 3rd International Conference on Education, Management, Arts, Economics and Social Science; 2016. p. 1140–4. [2] G-Asks: An Intelligent Automatic Question Generation System for Academic Writing Support by Ming Liu and Rafael A. Calvo …

ParaQG: A System for Generating Questions and Answers from Paragraphs
V Kumar, S Muneeswaran, G Ramakrishnan… – arXiv preprint arXiv …, 2019 – arxiv.org
… However, none of the above works is publicly available as an online service. In this work we present ParaQG, an interac- tive Web-based question generation system to gen- erate correct, meaningful and relevant questions arXiv:1909.01642v1 [cs.CL] 4 Sep 2019 Page 2 …

Follow-up Question Generation
Y Mandasari – 2019 – essay.utwente.nl
Page 1. Faculty of Electrical Engineering, Mathematics & Computer Science Follow-up Question Generation Yani Mandasari M.Sc. Thesis August 2019 Thesis committee: Dr. Mariët Theune Prof. Dr. Dirk Heylen Jelte van Waterschoot, M.Sc …

Sequence-to-Sequence Learning for Indonesian Automatic Question Generator
FJ Muis, A Purwarianti – arXiv preprint arXiv:2009.13889, 2020 – arxiv.org
… 2019, pp. 296–306, doi: 10.18653/v1/w18-6536. [3] S. Rakangor and YR Ghodasara, ‘Literature Review of Automatic Question Generation Systems’, Int. J. Sci. Res. Publ., vol. 5, no. 1, 2015, [Online]. Available: www.ijsrp.org. [4 …

Automatic Question Generation for the Portuguese Language
BJC Leite – 2020 – repositorio-aberto.up.pt
Page 1. FACULDADE DE ENGENHARIA DA UNIVERSIDADE DO PORTO Automatic Question Generation for the Portuguese Language Bernardo José Coelho Leite Mestrado Integrado em Engenharia Informática e Computação Supervisor: Henrique Lopes Cardoso …

Question generation for language café interaction between robot and human: NLP applied in a robot
E Jin, E Johnston – 2019 – diva-portal.org
… IV. METHOD The proposed question generation system consists of two parts, the first is responsible for the generation of questions and the second part for the thematic jumps between subjects to create a thematically logical flow as shown in figure 1. A. Text Material …

A Question Answering and Quiz Generation Chatbot for Education
AS Sreelakshmi, SB Abhinaya, A Nair… – 2019 Grace Hopper …, 2019 – ieeexplore.ieee.org
… An anatomy for neural search engines. Information Sciences, 480, 339- 353. [13] Nema, P., Khapra, MM (2018). Towards a Better Metric for Evaluating Question Generation Systems. arXiv preprint arXiv:1808.10192. [14] Madrid, N. and Rusnok, P. (2019) …

Resolving intent ambiguities by retrieving discriminative clarifying questions
KD Dhole – arXiv preprint arXiv:2008.07559, 2020 – arxiv.org
… In order to disam- biguate queries which are ambiguous between two intents, we propose a novel method of gen- erating discriminative questions using a simple rule based system which can take advantage of any question generation system without requir- ing annotated data …

Question Answering and Generation from Structured and Unstructured Data
Y Chen – 2020 – search.proquest.com
Page 1. QUESTION ANSWERING AND GENERATION FROM STRUCTURED AND UNSTRUCTURED DATA Yu Chen Submitted in Partial Fullfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY Approved …

Question Answering for Fact-Checking
M Jobanputra – Proceedings of the Second Workshop on Fact …, 2019 – aclweb.org
… To transform the FEVER dataset into the above- mentioned task, we first generate the questions from the claims. In literature, there are majorly two types of Question Generation systems: Rule- based and Neural Question Generation (NQG) model based. Ali et al …

Automatic Question Generator System Conceptual Model for Mathematic and Geometry Parallel Question Replication
AAB Prasetyanto, TB Adji… – Journal of Physics …, 2020 – iopscience.iop.org
… 7. References [1] Liu M and Calvo R 2012 G-Asks: An Intelligent Automatic Question Generation System for Academic Writing Support (Australia: Dialogue and Discourse, School of Electrical and Information Engineering, University of Sydney, Sydney NSW 2006) p 101–124 [2 …

Unsupervised Question Answering for Fact-Checking
M Jobanputra – arXiv preprint arXiv:1910.07154, 2019 – arxiv.org
… To transform the FEVER dataset into the above- mentioned task, we first generate the questions from the claims. In literature, there are majorly two types of Question Generation systems: Rule- based and Neural Question Generation (NQG) model based. Ali et al …

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
Question generation and question answering are attracting more and more attention recently. Existing question generation systems produce questions based on the given text … Existing question generation systems produce questions based on the given text …

Summarizing News Articles Using Question-and-Answer Pairs via Learning
X Wang, C Yu – International Semantic Web Conference, 2019 – Springer
… a neural encoder-decoder model that reads a text passage and generates an answer-focused question, while [4] proposes to first identify question-worthy sentences in a input text passage, and then incorporates the prediction into an existing natural question generation system …

Linguistic Appropriateness and Pedagogic Usefulness of Reading Comprehension Questions
A Horbach, I Aldabe, M Bexte, OL de Lacalle… – Proceedings of The …, 2020 – aclweb.org
… Additionally, we generate questions for the English texts using both a rule-based and a neural question generation system. language EN EU DE #texts 24 18 21 #questions (all) 299 152 95 #questions (generated) 235 – – #questions (manual) 64 152 95 …

Generating Linear Programming Questions.
K Boonkasem, T Soonklang… – International Journal of …, 2019 – search.ebscohost.com
… 242-251. [11] Hafedh Hussein, Mohammed Elmogy and Shawkat Guirguis. Automatic English Question Generation System Based on Template Driven Scheme. International Journal of Computer Science Issues (IJCSI), 11(6), 2014, pp. 45-53 …

Low-resource generation of multi-hop reasoning questions
J Yu, W Liu, S Qiu, Q Su, K Wang, X Quan… – Proceedings of the 58th …, 2020 – aclweb.org
Page 1. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 6729–6739 July 5 – 10, 2020. c 2020 Association for Computational Linguistics 6729 Low-Resource Generation of Multi-hop Reasoning Questions …

Crowdsourcing evaluation of the quality of automatically generated questions for supporting computer-assisted language teaching
M Chinkina, S Ruiz, D Meurers – ReCALL, 2020 – cambridge.org
… Finally, we discuss the challenges and limitations of creating and evaluating question-generation systems for language learners. Keywords: automatic question generation; crowdsourcing; intelligent computer-assisted language learning …

Towards an Ontology-Based Fully Integrated System for Student E-Assessment
S ALMUAYQIL, S ABD EL-GHANY… – Journal of Theoretical and …, 2020 – jatit.org
… generate questions. Diatta et al. [17] proposed a bilingual (English and French) ontology-based automatic question generation system for formulating True/False and MCQ questions with single or multiple answers. With regard …

Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations
P Qi, Y Zhang, CD Manning – arXiv preprint arXiv:2004.14530, 2020 – arxiv.org
… question answering system (Nogueira et al., 2019). Some of the first question generation systems are rule-based (Mitkov et al., 2003; Rus et al., 2010; Heilman and Smith, 2010). More recently, large- scale question answering …

Evaluation of text generation: A survey
A Celikyilmaz, E Clark, J Gao – arXiv preprint arXiv:2006.14799, 2020 – arxiv.org
Page 1. Evaluation of Text Generation: A Survey Asli Celikyilmaz? Microsoft Research aslicel@microsoft.com Elizabeth Clark? University of Washington eaclark7@cs.washington. edu Jianfeng Gao? Microsoft Research jfgao@microsoft.com Abstract …

Comparative analysis of Machinegenerated questions (Quillionz) and Human-generated questions
M Bahy – 2020 – diva-portal.org
Page 1. IN DEGREE PROJECT TECHNOLOGY, FIRST CYCLE, 15 CREDITS , STOCKHOLM SWEDEN 2020 Comparative analysis of Machine- generated questions (Quillionz) and Human-generated questions MAZEN BAHY …

Distinguishing between human and computer generated questions
S Emtell – 2020 – diva-portal.org
… “Natural Language Processing”. In: Encyclopedia of Library and Information Science (2001). [9] Sheetal Rakangor and YR Ghodasara. “Literature Review of Auto- matic Question Generation Systems”. In: International Journal of Sci- entific and Research Publications (2015) …

Retrieval-augmented generation for knowledge-intensive nlp tasks
P Lewis, E Perez, A Piktus, F Petroni… – arXiv preprint arXiv …, 2020 – arxiv.org
Page 1. Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks Patrick Lewis†‡, Ethan Perez?, Aleksandra Piktus†, Fabio Petroni†, Vladimir Karpukhin†, Naman Goyal†, Heinrich Küttler†, Mike Lewis†, Wen-tau …

Automation of Paper Setting and Identification of Difficulty Level of Questions and Question Papers
A Pathan, P Futane – Proceeding of International Conference on …, 2020 – Springer
… Hence, from literature survey above discussed it reveals that Bloom’s taxonomy method along with natural language processing is best method for automatic question generation system [6]. 3 Proposed Methodology … Automatic question generation system has been studied …

Development of a web-based question bank for automated question paper generation
M Ahamed – 2019 – lib.buet.ac.bd
… SQL Structured Query Language CSS Cascading Style Sheets DFD Data Flow Diagram qBank Question Bank QGS Question Generation System ERD Entity Relation Diagram GUI Graphical User Interface UI User Interface UML Unified Modeling Language …

Ontology Specifications to Generate Questions
S Wang – projects.cs.uct.ac.za
Page 1. Ontology Specifications to Generate Questions Steve Wang wngshu003@ myuct.ac.za University of Cape Town Cape Town, South Africa ABSTRACT Ontology have been used across multiple fields. This paper investi …

Automated Item Generation: Model and Development Technique
SE Prasetyo, TB Adji, I Hidayah – 2020 7th International …, 2020 – ieeexplore.ieee.org
… G-Asks: An Intelligent Automatic Question Generation System for Academic Writing Support [33] Rule-Based Model Student Academic Paper Good Question! Statistical Ranking for Question Generation [34] Rule-Based Model Wikipedia Article Semi-Automatic Framework …

Detecting Hallucinated Content in Conditional Neural Sequence Generation
C Zhou, J Gu, M Diab, P Guzman, L Zettlemoyer… – arXiv preprint arXiv …, 2020 – arxiv.org
… et al., 2020a; Maynez et al., 2020; Durmus et al., 2020; Falke et al., 2019) by leveraging existing semantic inference systems: (1) question answering (QA) sys- tem-based methods (Wang et al., 2020a; Durmus et al., 2020) first employ a question generation system to generate …

Text generation with diversified source literature review
AA Müngen, E Do?an, M Kaya – Proceedings of the 2019 IEEE/ACM …, 2019 – dl.acm.org
… Intell. Syst., vol. 17, no. 1, pp. 54–60, 2002. [19] H. Hussein, M. Elmogy, and S. Guirguis, “Automatic English question generation system based on template driven scheme,” Int. J. Comput. Sci. Issues, vol. 11, no. 6, p. 45, 2014 …

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 NER (Named Entity … II. RELATED WORKS CQG (Cloze Question generation) system is the system that produced a list of cloze questions in English article …

Natural Language Processing and Levenshtein Distance for Generating Error Identification Typed Questions on TOEFL
LS Riza, FS Anwar, EF Rahman, CU Abdullah… – Journal of Computers for … – ejournal.upi.edu
Page 1. 1 Natural Language Processing and Levenshtein Distance for Generating Error Identification Typed Questions on TOEFL Lala Septem Rizaa, Faisal Syaiful Anwarb, Eka Fitrajaya Rahmanc, Cep Ubad Abdullahd, Shah Nazire …

Gamified Smart Objects for Museums Based on Automatically Generated Quizzes Exploting Linked Data
A López-Martínez, CA Iglesias… – 2020 16th International …, 2020 – ieeexplore.ieee.org
… Systems. Springer, 2006, pp. 584–594. [17] M. Liu, RA Calvo, and V. Rus, “G-asks: An intelligent automatic question generation system for academic writing support,” Dialogue & Discourse, vol. 3, no. 2, pp. 101–124, 2012. [18 …

Textbooks that Assist in Content Learning
S Wang – projects.cs.uct.ac.za
… Although there several question generation systems that have being constructed, we can see that there is trade-off in one aspect or another in these existing systems. REFERENCES [1] 1988. Dependency Syntax: Theory and Practice – Igor Aleksandrovic Mel’cuk, Igor …

Using deep learning in a board game support system
O Attard – 2019 – um.edu.mt
… an answer, but it was able to generate yes questions. The no questions had to be generated by hand as it was a limitation of the question generation system evaluated. When it comes to the processing modules two solutions …

NukeBERT: A Pre-trained language model for Low Resource Nuclear Domain
A Jain, M Ganesamoorty – arXiv preprint arXiv:2003.13821, 2020 – arxiv.org
… The important reasons for deciding against using automatic question generation are: i. Our dataset comprising research papers related to the nuclear domain turns out to be too difficult for the existing question generation systems …

Artificial Intelligence Decision Support for Medical Triage
C Marchiori, D Dykeman, I Girardi, A Ivankay… – arXiv preprint arXiv …, 2020 – arxiv.org
… where w(s, r) denotes the weight of term s in the given relevant record r. NN based question generation systems show very promising results in order to generate questions that are medically relevant and consistent with the initially provided symptoms, hence fundamental for the …

Generation and mining of medical, case-based multiple choice questions
G Kurdi – 2020 – research.manchester.ac.uk
Page 1. GENERATION AND MINING OF MEDICAL, CASE-BASED MULTIPLE CHOICE QUESTIONS A THESIS SUBMITTED TO THE UNIVERSITY OF MANCHESTER FOR THE DEGREE OF DOCTOR OF PHILOSOPHY IN THE FACULTY OF SCIENCE AND ENGINEERING …

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
… Results show that these state-of- the-art Question Generation systems, even as a whole, are far from being able to generate the majority of the questions proposed by humans (up to 20% of coverage), and that, on average, several edits are needed (around 3) to correct the …

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….

Natural Language Processing based Jaro-The Interviewing Chatbot
J Purohit, A Bagwe, R Mehta… – 2019 3rd …, 2019 – ieeexplore.ieee.org
… Francis Institute of Technology, Mumbai. VIII. REFERENCES [1] P Pabitha, M. Mohana, S. Suganthi, B. Sivanandhini, “Automatic Question Generation system”, Recent Trends in Information Technology (ICRTIT) 2014 International Conference on, pp …

Toward dialogue modeling: A semantic annotation scheme for questions and answers
MAC Blandón, G Minnema, A Nourbakhsh… – Proceedings of the 13th …, 2019 – aclweb.org
… The problem is not new: in the NLP literature, differ- ent aspects of QAP tagging have been addressed in the context of question answering systems (Li and Roth, 2002), question generation systems (eg Graesser et al., 2008), and dialogue act classifi- cation (eg Allen and Core …

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 …

A Survey of Evaluation Metrics Used for NLG Systems
AB Sai, AK Mohankumar, MM Khapra – arXiv preprint arXiv:2008.12009, 2020 – arxiv.org
Page 1. A Survey of Evaluation Metrics Used for NLG Systems ANANYA B. SAI, Robert-Bosch Centre for Data Science and AI, Indian Institute of Technology, Madras, India AKASH KUMAR MOHANKUMAR, Indian Institute of …

Generating Question Titles for Stack Overflow from Mined Code Snippets
Z Gao, X Xia, J Grundy, D Lo, YF Li – arXiv preprint arXiv:2005.10157, 2020 – arxiv.org
… 4 APPROACH In this section, we firstly define the task of question generation, then present the details of Stack Overflow question generation system. Fig. 4 demonstrates the workflow used by our model. A ACM Trans. Softw. Eng. Methodol., Vol. 9, No. 4, Article 39 …

Re-evaluating adem: A deeper look at scoring dialogue responses
AB Sai, MD Gupta, MM Khapra, M Srinivasan – Proceedings of the AAAI …, 2019 – aaai.org
Page 1. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) Re-Evaluating ADEM: A Deeper Look at Scoring Dialogue Responses Ananya B. Sai,1,2,4 Mithun Das Gupta,3 Mitesh M. Khapra,1,2 Mukundhan …

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 …

Assessing students’ SQL knowledge and skills in gamification manner
G Tuparov, D Keremedchiev – 2020 43rd International Convention on … – ieeexplore.ieee.org
… This will help to build the students? SQL problemYsolving skills more effectively. Our approach for adding gamification in the selfY training and selfYassessment processes includes a scenario for gamification and SQL question generation system …

Rule-Based Approach to Sentence Simplification of Factual Articles
A Dhar, A Salgaonkar – ICT Systems and Sustainability, 2020 – Springer
… and Prospects, p. 47. For UNESCO by Knowledge Enterprise (2002)Google Scholar. 3. Divate, M., Salgaonkar, A.: Ranking model with a reduced feature set for an automated question generation system. In: Sharma, DS, Sangal …

Identifying unclear questions in community question answering websites
J Trienes, K Balog – European Conference on Information Retrieval, 2019 – Springer
… benefits of both. Furthermore, one may start integrating the outputs of the Similar Questions Model into a clarification question generation system, which at a later stage is embedded in the user interface of a CQA site. As an intermediate …

A Survey on Effect of KPIs in Higher Education based on Text Mining Techniques
Y Helmy, O Emam, A Khedr, M Bahloul – researchgate.net
… The aim of the question generation system is to improve the ability of language learners to read, in particular students learning English as a Second Language (ESL). This study have provided two different methods that produce multiple- sentence questions automatically …

Easy Learning: Augmented Reality Based Environmental Studies for Primary Students
T Wickramapala, L Jayawardhana… – … on Advancements in …, 2019 – ieeexplore.ieee.org
… have already yielded outcomes. Following the forthcoming inspections brought together during execution. • Ontology based question generation system can be improved by all possible question types. Including lists and Self …

Automatically Generate Questions for National Examinations in English Reading Comprehension
V Hendered, A Jönsson – 2020 – diva-portal.org
… (Massive Open Online Courses). This has led to the rise of more research in Automatic Question Generation systems (AQG) [5, 11–13]. AQG is the means of generating … paragraph. Another early example of question generation systems is a system called …

Making Chatbots More Conversational: Using Follow-Up Questions for Maximizing the Informational Value in Evaluation Responses
P Hilding – 2019 – diva-portal.org
Page 1. UPTEC IT 19012 Examensarbete 30 hp Juni 2019 Making Chatbots More Conversational Using Follow-Up Questions for Maximizing the Informational Value in Evaluation Responses Pontus Hilding Institutionen för informationsteknologi …

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…

Empowering Museum Experiences Applying Gamification Techniques Based on Linked Data and Smart Objects
A López-Martínez, Á Carrera, CA Iglesias – Applied Sciences, 2020 – mdpi.com
Museums play a crucial role in preserving cultural heritage. However, the forms in which they display cultural heritage might not be the most effective at piquing visitors’ interest. Therefore, museums tend to integrate different technologies that aim to create engaging and memorable …

Technology in Education
LK Lee, U Leong Hou, FL Wang, SKS Cheung, O Au… – Springer
… Assessment….. 126 Tak-Lam Wong, Chung Keung Poon, Chung Man Tang, Yuen Tak Yu, and Victor Chung Sing Lee Automatic Question Generation System for English Reading Comprehension …

Preprocessing Methods and Tools in Modelling Japanese for Text Classification
R Rahutomo, F Lubis, HH Muljo… – 2019 International …, 2019 – ieeexplore.ieee.org
… 2018, pp. 771–778. [5] L. Nio and K. Murakami, “Combination of Statistical and Neural Approaches in the Japanese Question Generation System,” The Association for Natural Language Processing, pp. 1379–1382, 2019. [6 …

Word Sense Disambiguation in Hindi Language Using Score Based Modified Lesk Algorithm
P Tripathi, P Mukherjee, M Hendre… – … of Computing and …, 2020 – journal.uob.edu.bh
… input question. This model is based on a combined approach using word sense disambiguation (WSD) and semantic role labelling (SRL). The proposed system is a factoid sense based question generation system. The Lesk …

Multiswarm Multiobjective Particle Swarm Optimization with Simulated Annealing for Extracting Multiple Tests
T Bui, T Nguyen, HM Huynh, B Vo… – Scientific …, 2020 – hindawi.com
Journals; Publish with us; Publishing partnerships; About us; Blog. Scientific Programming. +Journal Menu. PDF. Journal overview. For authorsFor reviewersFor editors.

Applications of Machine Learning in Improving Learning Environment
P Asthana, B Hazela – Multimedia Big Data Computing for IoT Applications, 2020 – Springer
… V. Kalogeiton, Introduction to Convolutional Neural Networks, Reading Group on Deep Learning: Session 3 (2016)Google Scholar. 15. IE Fattoh, Automatic multiple choice question generation system for semantic attributes using string similarity measures. Comput. Eng. Intell …

Inferencing underspecified natural language utterances in visual analysis
V Setlur, M Tory, A Djalali – … of the 24th International Conference on …, 2019 – dl.acm.org
… queries for subsequent search [1]. Sajjad et al. proposed a question generation system for handling underspecified queries from domain-specific search engines [30]. Search diversification is another technique employed by …

An efficient algorithm for unique class association rule mining
M Nasr, M Hamdy, D Hegazy, K Bahnasy – Expert Systems with Applications – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

Explainable and Efficient Knowledge Acquisition from Text
P Qi – 2020 – search.proquest.com
… I show that when a question generation system is optimized to consider the proposed metrics, the resulting generated questions are more interesting, human-like, and e?ective at moving the conversation forward. A preprint of this work is available on arXiv (Qi et al., 2020) …

Clover Quiz: a trivia game powered by DBpedia
G Vega-Gorgojo – Semantic Web, 2019 – content.iospress.com
… As a result, there are more than 200K questions (in English and Spanish) built from 2.9K templates, while the other initiatives report question sets in the range of thousands. [1 ,7 ,10 ,11] are examples of question generation systems not purposed for quiz games …

An assistive environment for EAL academic writing using formulaic sequences classification
MA Abbas, S Hammad, GJ Hwang, S Khan… – Interactive Learning …, 2020 – Taylor & Francis
Writing an English research article for novice English as an additional language (EAL) writers is a challenging task that requires experience and training at both the sentence and meaning levels. O…

Developing FAIR ontological pathways: linking evidence of movement in lidar to models of human behaviour
L Nuninger, R Opitz, P Verhagen… – Journal of Computer …, 2020 – eprints.gla.ac.uk
Page 1. 1. Introduction What has lidar data ever done for us? The extensive and nuanced collections of microtopographic structures revealed by lidar surveys across large regions should, it seems, enable us to reconsider the …

Natural Language Processing and Text Mining with Graph-Structured Representations
B Liu – 2020 – era.library.ualberta.ca
… quality training dataset from unlabeled corpus. Specifically: • We propose a novel Answer-Clue-Style aware question generation system which generates questions based on both given answers and the predicted/sampled clue words …

The use of any with factive predicates
P Duffley, P Larrivée – Linguistics, 2019 – degruyter.com
Jump to Content Jump to Main Navigation Publications. Subjects. Architecture and Design Arts Asian and Pacific Studies Business and Economics Chemistry Classical and Ancient Near Eastern Studies Computer Sciences Cultural …

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