Machine Learning & Question Generation 2015


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Automatic Question Generation 2014 | Automatic Question Generation 2015Question Generation | Question Generation Module

Image question answering: A visual semantic embedding model and a new dataset M Ren, R Kiros, R Zemel – CoRR, abs/1505.02074, 2015 – … Under review by the Deep Learning Workshop at the International Conference on Machine Learning (ICML … a generic end-to-end QA model using visual semantic em- beddings to connect a CNN and a recurrent neural net (RNN); an automatic question generation algorithm that … Cited by 21 Related articles

Towards topic-to-question generation Y Chali, SA Hasan – Computational Linguistics, 2015 – MIT Press … is why Question Answering (QA) has received immense attention from the information retrieval, information extraction, machine learning, and natural … Therefore, they would benefit from automated Question Generation (QG) systems that can assist in meeting their inquiry needs … Cited by 3 Related articles All 9 versions

Neural Self Talk: Image Understanding via Continuous Questioning and Answering Y Yang, Y Li, C Fermuller, Y Aloimonos – arXiv preprint arXiv:1512.03460, 2015 – … that takes their roles iteratively: 1) question generation, which is re- sponsible for asking the right questions, and 2) question an- swering, which accepts the questions and generate potential answers. With the rapid development in computer vision and machine learning [Mao et … Cited by 5 Related articles All 4 versions

The Jinan Chinese Learner Corpus M Wang, S Malmasi, M Huang – Proceedings of the Tenth Workshop on …, 2015 – … Transfer Hypothesis Extraction Researchers have recently investigated using data-driven tech- niques combined with machine learning and NLP to extract language transfer hypotheses … A real- time multiple-choice question generation for language testing: a preliminary study. … Cited by 6 Related articles All 12 versions

RevUP: Automatic Gap-Fill Question Generation from Educational Texts G Kumar, RE Banchs, LF D’Haro – Silver Sponsor, 2015 – … We intend to cast the distractor selection problem as a machine learning problem to be trained from human judgments. … References Manish Agarwal and Prashanth Mannem. Au- tomatic gap-fill question generation from text books. … Cited by 2 Related articles All 9 versions

I spy: An interactive game-based approach to multimodal robot learning N Parde, M Papakostas, K Tsiakas… – Workshops at the …, 2015 – … Both of these stages are further decomposed into sub-tasks requiring natural language processing, computer vision, and machine learning methods … questions—both for the purposes of I Spy and, more broadly, for applications re- quiring automatic question generation in general … Cited by 3 Related articles All 3 versions

Auto-FAQ-Gen: Automatic Frequently Asked Questions Generation F Raazaghi – Canadian Conference on Artificial Intelligence, 2015 – Springer … These three modules will employs syntactic, semantic, and machine learning techniques for ranking. … For instance, to com- prehensive investigate the performance of the Question Generation module a precision and recall based evaluation technique will be used for the TREC … Cited by 1 Related articles

E-Learning Mobile Application For Arabic Learners. A Karkar, JM Alja’am, M Eid… – Journal of Educational …, 2015 – … The dynamic tutorials would become more time efficient due to the machine learning process of the automated system. … F. Generation of Question Generation of questions uses the defined semantic model in order to generate random answers. … Cited by 1 Related articles

Automatic Generation of English Vocabulary Tests Y Susanti, R Iida, T Tokunaga – Proceedings of the 7th International …, 2015 – … Un- like previous work, we propose a method for question generation by utilising Web texts from the Internet in addition to … 2009) reach around 0.37 in accuracy with a knowledge- based approach, 0.88 with supervised and 0.82 with unsupervised machine learning approaches. … Cited by 1 Related articles All 3 versions

A generating technique and knowledge representation of multiple-answer problems for learning with solving knowledge N Matsuda, H Ogawa, T Hirashima… – Research and Practice …, 2015 – Skip to main content. … Cited by 1 Related articles All 4 versions

Leveraging multiple views of text for automatic question generation K Mazidi, RD Nielsen – International Conference on Artificial Intelligence in …, 2015 – Springer … processing (almost) from scratch. The Journal of Machine Learning Research 12 (2011) 6. Curto, S., Mendex, A., Coheur, L.: Question generation based on lexico-syntactic patterns learned from the web. Dialogue & Discourse … Cited by 1 Related articles

Automatic selection of informative sentences: The sentences that can generate multiple choice questions M Majumder, SK Saha – … & E-Learning: An International Journal ( …, 2015 – … Keywords: Educational assessment; Multiple choice questions; Question generation; Sentence selection; Parse tree matching; Named entity recognition … His main research interests include Text Processing, Machine Learning, Micro-fluidic System, and Biochip etc. … Cited by 1 Related articles All 3 versions

A Community-Based Vietnamese Question Answering System QH Tran, ND Nguyen, KD Do, TK Nguyen… – Knowledge and Systems …, 2015 – Springer … Regarding to these problems, some researches concern about question identification [5, 16, 6, 15], question similarity [2], question generation [17], question analysis [10, 9], answer … Furthermore, our VnCQAs system uses machine learning techniques to obtain high accuracy. … Cited by 1 Related articles All 5 versions

Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language L He, M Lewis, L Zettlemoyer – Proceedings of the …, 2015 – … We show that the data is high quality, rivaling PropBank in many aspects including coverage, and easily gathered in non- newswire domains.3 The baseline performance levels for question generation and answering re- inforce the quality of the data and highlight the potential … Cited by 2 Related articles All 12 versions

A Statistical Approach for Non-Sentential Utterance Resolution for Interactive QA System D Raghu, S Indurthi, J Ajmera, S Joshi – … of the Special Interest Group on …, 2015 – … are used to create a set of domain independent features to annotate an input dataset, and run machine learning algo- rithms. … consists of the following three steps as shown in Figure 1. • Candidate Keyword Set Generation • Keyword to Question Generation (K2Q) • Learning to … Cited by 1 Related articles All 9 versions

E-Testing question development technologies and strategies M Gusev, S Ristov, G Armenski – 2015 IEEE Global …, 2015 – … This section covers two areas about categorization of the question types and question generation approaches. … question types can be organized as a kind of essay question and are not convenient for automated testing with current development of machine learning tools and … Cited by 1 Related articles

Massive open online proctor: Protecting the credibility of MOOCs certificates X Li, K Chang, Y Yuan, A Hauptmann – … of the 18th ACM Conference on …, 2015 – … The recorded data are then subject to auto- mated machine learning models to flag whether students are likely to be cheating. … Experimental Setup Exam Question Generation We utilize an computerized test with 20 multiple choice questions. … Cited by 4 Related articles All 5 versions

Automatic Generation of Multiple Choice Questions using Surface-based Semantic Relations N Afzal – International Journal of Computational Linguistics ( …, 2015 – … Our system (Figure 1) consists of three main components: IE, question generation and distractors generation. … 8. QUESTION GENERATION This component of our system transforms extracted semantic relations into questions automatically by employing a certain set of rules. … Cited by 1 Related articles All 3 versions

Sentence extraction with topic modeling for question–answer pair generation CH Wu, CH Liu, PH Su – Soft Computing, 2015 – Springer … Boyer & Piwek, pp 58–67; Bernhard D, De Viron L et al (2012) Question generation for French: collating parsers and paraphrasing questions. … In: Proceedings of the 23rd international conference on machine learning. ACM; Blei DM, Ng AY et al (2003) Latent dirichlet allocation. … Cited by 1 Related articles All 3 versions

Semantic parsing of ambiguous input through paraphrasing and verification P Arthur, G Neubig, S Sakti, T Toda… – Transactions of the …, 2015 – Page 1. Semantic Parsing of Ambiguous Input through Paraphrasing and Verification Philip Arthur, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura Graduate School of Information Science, Nara Institute of Science and Technology, Japan … Cited by 1 Related articles All 10 versions

Multilingual features based keyword search for very low-resource languages P Golik, Z Tüske, R Schlüter… – Proc. …, 2015 – … of ACM SIGIR Workshop on Searching Spontaneous Conversational Speech, 2007, pp. 51–57. [3] K. Beulen and H. Ney, “Automatic question generation for deci- sion tree based state tying,” in Proc. IEEE Int. … Conf. on Machine Learning, Haifa, Israel, Jun. 2010, pp. 807–814. … Cited by 2 Related articles All 3 versions

Four-participant group conversation: A facilitation robot controlling engagement density as the fourth participant Y Matsuyama, I Akiba, S Fujie, T Kobayashi – Computer Speech & …, 2015 – Elsevier In this paper, we present a framework for facilitation robots that regulate imbalanced engagement density in a four-participant conversation as the forth partic. Cited by 3 Related articles All 3 versions

Designing engaging intelligent tutoring systems in an age of cognitive computing SC Sundararajan, SV Nitta – IBM Journal of Research and …, 2015 – … for K-12 students, by integrating a suite of differentiating technologies around interactivity, dialog, automated question generation, and learning … from sources like DBPedia [41] and Freebase [42] using advanced natural language processing and machine learning techniques. … Cited by 1 Related articles

A review of verbal and non-verbal human–robot interactive communication N Mavridis – Robotics and Autonomous Systems, 2015 – Elsevier In this paper, an overview of human–robot interactive communication is presented, covering verbal as well as non-verbal aspects. Following a historical introd. Cited by 26 Related articles All 8 versions

Semantic Question Generation Using Artificial Immunity IE Fattoh, AE Aboutabl… – International Journal of …, 2015 – … 2 Semantic Question Generation Using Artificial Immunity. … A number of AIS models exist and are used in pattern recognition, fault detection, computer security, data analysis, scheduling, machine learning, search optimization methods and a variety of other applications … Related articles All 6 versions

Discovery Indonesian Medical Question-Answering Pairs Pattern With Question Generation W Suwarningsih, I Supriana… – International Journal of …, 2015 – … Using question generation one might switch very quickly to transformation sentence and found in the pattern without any needs of a linguist expert. … The future machine learning method allows the system to learn patterns of text in which the question and the answer might be not … Related articles

RoboCHAIR: Creative Assistant for Question Generation and Ranking S Pollak, B Lesjak, J Kranjc… – Computational …, 2015 – … is a few seconds, if the system is run as a service with all the sentence selection and question generation models pre … MACHINE LEARNING EXPERIMENTS From the data collected with the developed crowdsourcing platform we have constructed a dataset that consists of 352 … Related articles

A Collaborative Writing Tool on Cloud Environment BM Rao, C Latha – … TML integrates the open source Apache Lucene search engine, the Weka machine learning libraries and the Stanford NLP parser, and is itself open source. 3.4 Automatic Question Generation(AQG) Automatic Question Generation (AQG) tool [12] that extracts citations from … Related articles All 2 versions

Pororobot: A deep learning robot that plays video Q&A games KM Kim, CJ Nan, JW Ha, YJ Heo… – AAAI 2015 Fall Symposium …, 2015 – … Particularly, recent advance- ment in machine learning enables robots to deeply under- stand visual scene information and describe the scene in … Question Generation Results To evaluate the reasonability of the questions generated from DCH, we measure a BLEU score of the … Cited by 1 Related articles All 3 versions

Judging the Quality of Automatically Generated Gap-fill Question using Active Learning NB Niraula, V Rus – Silver Sponsor, 2015 – … Active learning is a machine learning frame- work which is typically used when unlabeled data is abundant but manual annotation is slow and expensive. This is the case in many Nat- ural Language Processing tasks, including au- tomated question generation, which is our fo … Cited by 1 Related articles All 9 versions

Automatic Question Generation and Adaptive Practice T Effenberger – … Often, several approaches are combined, eg The Mentor (a question generation tool) uses regular expressions, gazetteers and a machine learning recognizer [MCC11]). 2.4 Relation Extraction Having discovered named entities, we can extract relations between them. … Related articles

Automatic fill-the-blank question generator for student self-assessment G Kumar, RE Banchs, LF D’Haro – Frontiers in Education …, 2015 – … problesms, we built a system, harnessing cutting edge computer science techniques, for automatic Gap-Fill Question Generation (GFQG) from … Our system builds upon and proposes accurate techniques spanning the fields of Artificial Intelligence, Machine Learning and Natural … Related articles All 2 versions

Question Generation from Knowledge Graphs D Seyler, K Berberich, G Weikum – 2015 – … introduction to machine learning and regression problems. We close the background chapter with a discussion about techniques to process large datasets. In Chapter 3, we present a summary of previous work in the areas of question generation, difficulty … Related articles

Towards computer-assisted language learning with robots, wikipedia and CogInfoCom G Wilcock, S Yamamoto – … (CogInfoCom), 2015 6th IEEE …, 2015 – … In future work the question generation method will also be used for automatic evaluation of the learner’s listening comprehension level. … on-one human tutoring has shown that its highly interactive nature accounts for its effectiveness, but claim that machine-learning analyses of … Related articles

Digital assessment and promotion of children’s curiosity G Gordon, J Jirout, S Engel, A Chang – Proceedings of the 14th …, 2015 – … His research interests are machine learning, neuroscience of curiosity, developmental robotics as well as science education for children and the general public. … 32(2): p. 125-160. 13. Jirout, JJ Curiosity and the Development of Question Generation Skills. … Cited by 1 Related articles

Comparator Mining Lead to Better Alternatives for Making Better Decision PR Shirsath, UM Patil – 2015 IEEE International Symposium on …, 2015 – … examines several supervised machine learning methods for sentiment classification of movie reviews [8]. … Here “All” means overall performance of bootstrapping method that is identifying comparative question, generation of pattern, evaluation of patterns and mining comparators … Related articles

Image-Based Question Answering with Visual-Semantic Embedding M Ren – 2015 – … automatic question generation algorithm to synthesize QA pairs from a large image description dataset. In conclusion, solving the problem of image-based question answering will be a meaningful step in the field of machine learning and AI. … Related articles All 3 versions

A Perspective on Computer Assisted Assessment Techniques for Short Free-Text Answers S Roy, Y Narahari, OD Deshmukh – International Computer Assisted …, 2015 – Springer … In: Proceedings of the Workshop on the Question Generation Shared Task and Evaluation Challenge (2008). 32. … 1305, p. 41 (2011). 45. Sukkarieh, JZ, Pulman, SG: Information extraction and machine learning: auto-marking short free text responses to science questions. … Related articles All 3 versions

Sentence Simplification for Question Generation F Al Tarouti, J Kalita, C McGrory – … To select potential answers from the input sentence, we use a slightly modified version of Becker et al.’s cloze question generation system. … We implemented the answer selection system using the Stanford NLP Toolkit [11] and the Weka machine learning software [12]. … Related articles All 2 versions

Automatic Question Generation from Punjabi Text: A Review N Sharma, E Abhilasha – … Machine Learning Feature Detection Classification List Refinement Figure2: Architecture of NER System 2. Existing Approaches for Automatic Question Generation: 2.1 Rule Based Approach is represented by Sikha Garg and Vishal Goyal in 2013 [1]. Rule defines in this paper … Related articles

A Heuristic Approach to Factoid Question Generation from Sentence A Das, A Shaw, S Sarkar, T Deb – 2015 – … II. RELATED WORK Question Generation remains a challenging area of research among the Artificial Intelligence, Natural Language Processing or Machine Learning. In a study by Smith, Heilman and Hwa [14] states question … Related articles

Scoping Research with a Focus on Questioning J MASON – … the Watson DeepQA project (Ferrucci, et al., 2010, 2013; Fan, et al., 2012), which is now a cloud-based machine learning service. … A key characteristic is a disciplined approach to limiting the activity to question generation – in other words, considering answers is not pursued. … Related articles All 2 versions

Exercise Maker – … directions of future work are the following: • support for other languages; • new exercise types, such as multiple choice; • further improving exercise quality, possibly with statistical methods and machine learning. … WebExperimenter for Multiple-choice Question Generation. … Related articles

Massive Development of E-Testing Questions S Ristov, M Gusev, G Armenski – International Journal of …, 2015 – … a bulk set of questions, such as natural language processing, machine learning, semantic and other approaches. For example, Jovanov and Gusev’s approach is based on ontology building of a big knowledge database, which achieves the question generation speedup by 10 … Related articles All 5 versions

New Dimensions of Intelligent Authentication Systems VV Agblewornu, P Danquah – … “Machine learning is the name given to the area of Artificial Intelligence concerned with the development of algorithms which learn or improve … Question Generation (QG) is the task of generating reasonable questions from an input, which can be structured (eg a database) or … Related articles

A Ddos Detection And Mitigation System For Cloud Computing G Kasar Vaibhav, S Patil Vijay, A More Sagar… – … i) FC Module (Fuzzy Clustering Module) ii) Ann module iii) Fuzzy Aggregation Module 4) Turing Test Module 5) Question Generation Module … The whole framework of FC-ANN is illustrated in Fig 1. As typical machine learning framework, FC-ANN includes both the training phase … Related articles All 2 versions

Automatically Generated Metrics for Multilingual Inline Choice Questions on Reading Comprehension A Pfeiffer, A Kuraeva, M Foulonneau… – International Computer …, 2015 – Springer … [12] focused on generating questions out of any text for the purpose of text comprehension using NLP and machine learning techniques. Agarwal et al. [13], Agarwal [14] analysed the usefulness of discourse connectives for question generation of text inputs. Wu et al. … Related articles All 3 versions

A System for Generating Multiple Choice Questions: With a Novel Approach for Sentence Selection M Majumder, SK Saha – ACL-IJCNLP 2015, 2015 – … Apart from these rule and pattern based ap- proaches we also found an attempt on using su- pervised machine learning technique for stem selection by Correia et al.(2012). … Question generation, keyword extraction and distraction are discussed as follows. … Related articles All 9 versions

Predicting MUET Questions JP Choi – 2015 – … exam questions for the MUET student. On the other hand, the question generation is not an easy task. In order to … questions as well as news articles obtained from the internet. The articles are identified through machine learning methods which attempt to identify the subject … Related articles

A Survey on Methods That Restrict The Consistency in Online Health Seeker-Clinician Intercourse RM Gomathi, SMJ Amali – International Journal for Innovative Research in …, 2015 – … 2) Question generation for multimedia exploration-Given a QA pair, this component extracts three queries from the inquest, the response … Berlanga, Rafae et al., [3] has recommended a knowledge base which empowers huge quantity of machine learning approaches for diverse … Related articles All 3 versions

Work in Progress-an approach for mapping of auto generated questions to related topics in the curriculum S Das, R Chatterjee – Advances in Computing, …, 2015 – … 475-492. 2012. [5] Lindberg, David Lennart. “Automatic question generation from text for self … Oxford, UK: Elsevier [8] Wallach, Hanna M. “Topic modeling: beyond bag-of-words.” In Proceedings of the 23rd international conference on Machine learning, pp. 977-984. ACM, 2006. … Related articles

Evaluation of the Agility Level of the Organization G Linkevics, U Sukovskis – Applied Computer Systems, 2015 – … The amount of questions is configurable and depends on how many questions the organization is ready to ask their employees. After the question generation is complete, question sets are sent to specific users. … [7] TM Mitchell, “Learning Sets of Rules,” in Machine Learning. … Related articles All 3 versions

A Parse Tree Based Computation Technique for Generating Comprehension Style Questions from Chinese Text AKF Lui, SC Ng, YC Fung – Technology in Education. Transforming …, 2015 – Springer … Table 2. Number of times each of the question generation rules is applied in the evaluation … The over-generation approach developed by Heilman and Smith for English text relies on a machine-learning based ranker to se- lect only a small percentage of questions. … Related articles All 3 versions

[BOOK] Artificial Intelligence in Education: 17th International Conference, AIED 2015, Madrid, Spain, June 22-26, 2015. Proceedings C Conati, N Heffernan, A Mitrovic, MF Verdejo – 2015 – … Yi-Ting Huang and Jack Mostow Machine Learning for Holistic Evaluation of Scientific Essays….. … Jaclyn K. Maass, Philip I. Pavlik Jr., and Henry Hua Leveraging Multiple Views of Text for Automatic Question Generation…. …

Question Paraphrase Generation for Question Answering System H Qin – 2015 – … tree parsing with high accuracy. So we need a method for sentential paraphrase question generation which can generate as many variations as possible, against limited corpus and limited dependency parsing. In this work, we … Related articles

Aligning automatically generated questions to instructor goals and learner behaviour L Odilinye, F Popowich, E Zhang… – … (ICSC), 2015 IEEE …, 2015 – … b) a learner model. For the question generation (QG) task, we adopt a semantic based template approach which combines the benefits of traditional semantic based and template based methods. The semantic information contained … Related articles All 2 versions

Individualised training sheet composition of math word problems for learners with reading difficulties using genetic algorithm K Nandhini, SR Balasundaram – International Journal of …, 2015 – … The grade level math word problems are collected and more similar questions are generated using question generation technique and stored in databases. … The system mainly focuses on question generation and selection technique to train the learner’s with reading difficulties. … Related articles All 2 versions

Construction of an Online Examination System with Resumption and Randomization Capabilities MI Younis, MS Hussein – Page 1. 62 International Journal of Computing Academic Research (IJCAR) ISSN 2305-9184 Volume 4, Number 2(April2015), pp.62-82 © MEACSE Publications Construction of an Online Examination System with Resumption and … Cited by 1 Related articles All 3 versions

Failing to learn: towards a unified design approach for failure-based learning AA Tawfik, H Rong, I Choi – Educational Technology Research and …, 2015 – Springer … Case library learning environments or pedagogical agents that embed failure narratives at strategic decision-making points may thus allow the student to engage in meaning making and question generation as they investigate the causal linkages of the case. … Related articles All 4 versions

Improvement of Thinking Theme Discovery Algorithm on Density-Based Clustering X Gao, L Zou, Z Li – Thinking, 2015 – … and potential information and knowledge, large amounts of excellent algorithms in artificial intelligence, machine learning, data warehouse … The thinking theme discovery algorithm based on analysis questions includes two sections: analysis question generation and thinking … Related articles All 2 versions

An Approach for Creating Framework for Automated Question Generation from Instructional Objective Suresh Chandra Satapathy K. Srujan Raju Jyotsna Kumar Mandal V Bhateja – Springer … 519 S. Rao Chintalapudi and MHM Krishna Prasad An Approach for Creating Framework for Automated Question Generation from Instructional … His research interests include machine learning, data mining, swarm intelligence studies, and their applications to engineering. …

Beyond Query: Interactive User Intention Understanding Y Yang, J Tang – Data Mining (ICDM), 2015 IEEE International …, 2015 – … The major challenges include: Question generation. Good questions should contribute to a partitioning of the hypothesis space. Also, a good question sequence should identify the target within a few rounds. … Related Machine Learning Algorithms. … Related articles All 6 versions

Answering Reading Comprehension Using Memory Networks D Kapashi, P Shah – … The work in Fader et al [2] is representative of traditional QA systems, which induce a machine learning objective function that … ”Question Generation as a Competitive Undergraduate Course Project” In Proceed- ings of the NSF Workshop on the Question Generation Shared … Related articles All 4 versions

Automated Generation of Assessment Tests from Domain Ontologies PS Kumar – … domain experts. Keywords: MCQ Generation, Question Generation, Ontologies, E-learning System 1. Introduction Web … logical axioms. But, having a question generation module does not fully overcome the underlying prob- lem. There … Related articles All 2 versions

Pedagogically-driven ontology network for conceptualizing the e-learning assessment domain L Romero, M North, M Gutiérrez, L Caliusco – Journal of Educational …, 2015 – JSTOR … For example, Castellanos-Nieves et al. (2011) defined an ontology for supporting open-question generation, whereas Simperl, et al. … The latter is about the machine learning domain topic and has one reactive. Figure 9. A final exam for the Artificial Intelligence domain … Cited by 2 Related articles All 10 versions

Emerging trends in automated authoring AM Olney, K Brawner, P Pavlik… – … for Intelligent Tutoring …, 2015 – … A second alternative to hand-authoring production systems is to have the author tutor a machine learning system that learns the … of such machine-generated learning- relevant information include topic sequencing (Robson, Ray & Cai, 2013), question generation for learning … Cited by 2 Related articles All 3 versions

Big Data–Driven Natural Language–Processing Research and Applications V Gudivada, D Rao, V Raghavan – Big Data Analytics, 2015 – … The noisy channel model for MT is based on statistical machine learning. Assume … filtering. A broad range of applications that provide services such as personalized eLearning, automated question generation and assessment. … Cited by 3 Related articles

Evaluation of Online Examination Systems using Learning Management Systems F Alzahrane – 2015 – … appropriate for the application of modern testing theories, such as the item response theory (IRT). The simplicity of FBQs allow automatically generated questions, using machine learning techniques in real-time system environments (Hoshino & Page 13. 13 …

Query2Question: Translating Visualization Interaction into Natural Language M Nafari, C Weaver – IEEE transactions on visualization and …, 2015 – … We describe the architecture and implementation of the Q2Q system, discuss key design factors and variations that effect question generation, and present … Instance-based approaches manually construct a repos- itory and apply machine learning techniques to generate new text … Cited by 2 Related articles All 5 versions

Pedagogically-Driven Ontology Network for Conceptualizing the e-Learning Assessment Domain L Romero, M North, M Gutiérrez, L Caliusco – Journal of Educational …, 2015 – JSTOR … For example, Castellanos-Nieves et al. (2011) defined an ontology for supporting open-question generation, whereas Simperl, et al. … The latter is about the machine learning domain topic and has one reactive. Figure 9. A final exam for the Artificial Intelligence domain … Related articles

A novel concept-level approach for ultra-concise opinion summarization E Lloret, E Boldrini, T Vodolazova… – Expert Systems with …, 2015 – Elsevier … In Sharifi et al. (2010), a trending topic was taken as a starting point, and then all related posts were collected and summarized, using machine-learning algorithms to detect the sentences mostly related to the topic phrase. Similarly … Cited by 4 Related articles All 3 versions

OntoSakai: On the optimization of a Learning Management System using semantics and user profiling A Muñoz, J Lasheras, A Capel, M Cantabella… – Expert Systems with …, 2015 – Elsevier This paper proposes recommendation services and user profiling features in Learning Management Systems (LMS) by means of a semantic intelligent system combining. Cited by 4 Related articles All 3 versions

Answers or no answers: Studying question answerability in Stack Overflow AYK Chua, S Banerjee – Journal of Information Science, 2015 – Advertisement. … Cited by 1 Related articles All 3 versions

E-exams and exam process improvement G Sindre, A Vegendla – Norsk Informatikkonferanse (NIK), 2015 – … computer-based assessments over traditional paper-based examinations [2-9]: • for question and test development: automated question generation from … Using pattern matching and machine learning, the e-exam system might even be able to suggest annotations automatically … Cited by 2 Related articles

Intelligent Secure System NDK Al-Shakarchy – … [4] Michael Heilman, “Automatic Factual Question Generation from Text”, ph. … [6] Ronan Collobert, JasonWeston, , L´eon Bottou, Michael Karlen, Koray Kavukcuoglu, Pavel Kuksa, “ Natural Language Processing (Almost) from Scratch” , Journal of Machine Learning Research 12 … Related articles

Chinese Discourse Segmentation Based on Punctuation Marks Y Li, H Feng, W Feng – International Journal of Signal Processing, Image …, 2015 – … of the Workshop on the Question Generation Shared Task and Evaluation Challenge, (2008), Arlington, VA. … 20, no. 1, (1960), pp. 37-46. [16] AK McCallum, “Mallet: a machine learning for language toolkit”, (2002) http://mallet.cs. Page 10. … Related articles All 2 versions

The search for credibility in news articles and tweets M Jacobs – … Recent techniques like machine-learning help scientists to understand the credibility of the tweet in this fast changing digital world. … is a crowdsourcing platform with roughly the same abilities as AMT, but is extended with quality control, through gold question generation, and the …

Utilization of common human queries in ranking automatically generated questions S Golestanirad – 2015 – … iii Page 4. Abstract We challenge a form of Paragraph-to-Question generation task. We propose a question … Page 31. Chapter 3 Automatic Topic to Question Generation 3.1 Introduction In this section we introduce Topic to Question Generation and give examples about its usage. … Related articles

Designing challenge questions for location-based authentication systems: a real-life study Y Albayram, MMH Khan, A Bamis… – Human-centric …, 2015 – … To address this void and investigate the effect of question types on user performance, this paper explores location?based challenge question generation schemes where different types of questions are generated based on users’ locations tracked by smartphones and presented … Cited by 3 Related articles All 5 versions

Automatic pronunciation scoring with score combination by learning to rank and class-normalized DP-based quantization LY Chen, JSR Jang – IEEE/ACM Transactions on Audio, …, 2015 – Page 1. 2329-9290 (c) 2015 IEEE. Personal use is permitted, but republication/ redistribution requires IEEE permission. See publications_standards/publications/rights/index.html for more information. This … Cited by 1 Related articles All 2 versions

Adaptive IDEA for robust multiobjective optimization. Application to the r-TSALBP-m/A M Chica Serrano, J Bautista Valhondo… – IEEE Symposium …, 2015 – Page 1. 7 – 10 December 2015 Cape Town, South Africa Page 2. Contents … Related articles

Supervised detection and unsupervised discovery of pronunciation error patterns for computer-assisted language learning YB Wang, L Lee – IEEE/ACM Transactions on Audio, Speech, …, 2015 – Page 1. 2329-9290 (c) 2013 IEEE. Personal use is permitted, but republication/ redistribution requires IEEE permission. See publications_standards/publications/rights/index.html for more information. This … Cited by 1 Related articles All 3 versions

Intrusion Detection and Countermeasure of Virtual Cloud Systems-State of the Art and Current Challenges A Carlin, M Hammoudeh, O Aldabbas – INTERNATIONAL JOURNAL OF …, 2015 – Citeseer Page 1. (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 6, No. 6, 2015 1 | Page Intrusion Detection and Countermeasure of Virtual Cloud Systems – State of the Art and Current Challenges … Related articles All 2 versions

Similarity Reasoning Over Semantic Context–Graphs A BOTEANU – 2015 – Page 1. SIMILARITY REASONING OVER SEMANTIC CONTEXT–GRAPHS by ADRIAN BOTEANU A Dissertation Submitted to the Faculty of the WORCESTER POLYTECHNIC INSTITUTE in partial fulfillment of the requirements for the Degree of Doctor of Philosophy in … Related articles All 3 versions

Consensus-based crowdsourcing: Techniques and applications L Genta – … twitter related to a specific event (ie, free text contributions). A machine-learning ap- proach is proposed where data extracted from tweets related to the Occupy Wall Street … growth). For generating the machine learning model, a Support Vector Machine has been employed. … Cited by 1 Related articles

DDoS Attacks in Cloud Computing: Issues, Taxonomy, and Future Directions G Somani, MS Gaur, D Sanghi, M Conti… – arXiv preprint arXiv: …, 2015 – … agree- ment H2020-ICT30-2015-688061), the EU-India REACH Project (agreement ICI+/2014/342-896), the Italian MIUR-PRIN TENACE Project (agreement 20103P34XC), and by the Project Tackling Mobile Malware with Innovative Machine Learning Techniques funded … Cited by 1 Related articles All 4 versions

Real-time verification tool of BGP routing information for preventing inter-domain routing misbehavior JK Yun – Towson University Institutional Repository, 2015 – Page 1. TOWSON UNIVERSITY OFFICE OF GRADUATE STUDIES Real-Time Verification Tool of BGP Routing Information for Preventing Inter-Domain Routing Misbehavior by Je-Kuk Yun A Dissertation Presented to the faculty of Towson University in partial fulfillment … Related articles

Comparing a controlled levelled vocabulary with a language rich vocabulary in a beginner reading scheme RM Price-Mohr – 2015 – Page 1. Comparing a controlled levelled vocabulary with a language rich vocabulary in a beginner reading scheme Ruth Maria Price-Mohr Doctor of Philosophy University of York Education November, 2015 Page 2. 2 Abstract … Related articles All 2 versions