Natural language processing.

[583]
Ariel Rosenfeld, Abejide Ade-Ibijola, and Sigrid Ewert.
Regex parser ii: teaching regular expression fundamentals via
educational gaming.
In Annual Conference of the Southern African Computer Lecturers'
Association, pages 99–112. Springer, 2017.

[584]
Pradeep Kumar Roy, Jyoti Prakash Singh, and Snehasish Banerjee.
Deep learning to filter SMS spam.
Future Generation Computer Systems, 2019.

[585]
Wei Ruan, Naveenkumar Appasani, Katherine Kim, Joseph Vincelli, Hyun Kim, and
Won-Sook Lee.
Pictorial visualization of emr summary interface and medical
information extraction of clinical notes.
In 2018 IEEE International Conference on Computational
Intelligence and Virtual Environments for Measurement Systems and
Applications (CIVEMSA), pages 1–6. IEEE, 2018.

[586]
Keijo Ruohonen.
Formal languages.
Lecture Notes, pages 1–94, 2009.

[587]
Nico Rutten, Wouter R Van Joolingen, and Jan T Van der Veen.
The learning effects of computer simulations in science education.
Computers & Education, 58(1):136–153, 2012.

[588]
James Owen Ryan, Eric Kaltman, Michael Mateas, and Noah Wardrip-Fruin.
What we talk about when we talk about games: Bottom-up game studies
using natural language processing.
Proc. FDG, 2015.

[589]
Serguei Saavedra, Kathleen Hagerty, and Brian Uzzi.
Synchronicity, instant messaging, and performance among financial
Proceedings of the National Academy of Sciences,
108(13):5296–5301, 2011.

[590]
Earl D Sacerdoti.
Language access to distributed data with error recovery.
Technical report, SRI International Menlo Park CA, Artificial
Intelligence Center, 1977.

[591]
Shazia Sadiq, Maria Orlowska, Wasim Sadiq, and Joe Lin.
SQLator: an online SQL learning workbench.
In ACM Special Interest Group on Computer Science Education
Bulletin, volume 36, pages 223–227. ACM, 2004.

[592]
Ivan A Sag, Timothy Baldwin, Francis Bond, Ann Copestake, and Dan Flickinger.
Multiword expressions: A pain in the neck for NLP.
In International Conference on Intelligent Text Processing and
Computational Linguistics, pages 1–15. Springer, 2002.

[593]
Seref Sagiroglu and Duygu Sinanc.
Big data: A review.
In International Conference on Collaboration Technologies and
Systems, pages 42–47. IEEE, 2013.

[594]
Diptikalyan Saha, Avrilia Floratou, Karthik Sankaranarayanan, Umar Farooq
Minhas, Ashish R Mittal, and Fatma Özcan.
Athena: an ontology-driven system for natural language querying over
relational data stores.
Proceedings of the VLDB Endowment, 9(12):1209–1220, 2016.

[595]
Sajal Saha, Mazid Alam, and Smita Dey.
A framework for artificially intelligent customized voice response
system design using speech synthesis markup.
Intelligent Speech Signal Processing, page 175, 2019.

[596]
Jatinderkumar R Saini and Rajnish M Rakholia.
On continent and script-wise divisions-based statistical measures for
stop-words lists of international languages.
Procedia Computer Science, 89:313–319, 2016.

[597]
Mayank Saini, Sharad Verma, and Aditi Sharan.
Multi-view ensemble learning using rough set based feature ranking
for opinion spam detection.
In Advances in Computer Communication and Computational
Sciences, pages 3–12. Springer, 2019.

[598]
Takeshi Sakaki, Fujio Toriumi, and Yutaka Matsuo.
Tweet trend analysis in an emergency situation.
In Proceedings of the Special Workshop on Internet and
Disasters, page 3. ACM, 2011.

[599]
Takeshi Sakaki, Masahide Okazaki, and Yoshikazu Matsuo.
Tweet analysis for real-time event detection and earthquake reporting
system development.
IEEE Transactions on Knowledge and Data Engineering,
25(4):919–931, 2013.

[600]
André Sander and Roland Wauer.
Integrating terminologies into standard SQL: a new approach for
research on routine data.
Journal of biomedical semantics, 10(1):7, 2019.

[601]
Romain Sandoz, Sarah Composto, Sandrine Divorne, Olivier Ertz, and Jens
GeoSQL Journey-A gamified learning experience to introduce (or
demystify) geospatial SQL queries.
Technical report, PeerJ Preprints, 2018.

[602]
Haniya Sarfraz.
Strategic leadership development: simplified with Bloom’s
Industrial and Commercial Training, 49(1):40–47, 2017.

[603]
Arvind Satyanarayan and Jeffrey Heer.
Lyra: An interactive visualization design environment.
In Computer Graphics Forum, volume 33, pages 351–360. Wiley
Online Library, 2014.

[604]
Ron Savage.
Database Language SQL (SQL-2003) SQL/Foundation.
<https://ronsavage.github.io/SQL/sql-2003-2.bnf.html>, 2017.
Accessed: 2018-09-30.

[605]
MS Schlager and William C Ogden.
A cognitive model of database querying: a tool for novice
ACM SIGCHI Bulletin, 17(4):107–113, 1986.

[606]
Sylvain Schmitz.
Approximating context-free grammars for parsing and
PhD thesis, Université Nice Sophia Antipolis, 2007.

[607]
Bernhard Schölkopf, Alexander J Smola, Francis Bach, et al.
Learning with kernels: support vector machines, regularization,
optimization, and beyond.
MIT press, 2002.

[608]
Carsten Schulte, Tony Clear, Ahmad Taherkhani, Teresa Busjahn, and James H
An introduction to program comprehension for computer science
In Proceedings of the 2010 ITiCSE working group reports, pages
65–86. ACM, 2010.

[609]
Dale H Schunk.
Learning theories an educational perspective sixth edition.
Pearson, 2012.

[610]
Kai Schweinsberg and Lutz Wegner.
Advantages of complex SQL types in storing XML documents.
Future Generation Computer Systems, 68:500–507, 2017.

[611]
Robert H Scott III.
Bloomberg 101.
Journal of Financial Education, pages 80–88, 2010.

[612]
Fabrizio Sebastiani.
Text categorization.
In Encyclopedia of Database Technologies and Applications,
pages 683–687. IGI Global, 2005.

[613]
Ahmed Seffah.
Patterns of HCI design and HCI design of patterns: bridging
HCI design and model-driven software engineering.
Springer, 2015.

[614]
Martin E Seligman.
On the generality of the laws of learning.
Psychological review, 77(5):406, 1970.

[615]
S Thamarai Selvi, P Karthikeyan, A Vincent, V Abinaya, G Neeraja, and
R Deepika.
Text categorization using rocchio algorithm and random forest
In 2016 Eighth International Conference on Advanced Computing
(ICoAC), pages 7–12. IEEE, 2017.

[616]
Subhasree Sengupta and Radhika Garg.
Impact of voice-based interaction on learning practices and behavior
of children.
In Joint Proceedings of the ACM IUI Workshops, Los Angeles, USA,
March 20, pages 1–3, 2019.

[617]
Iulian V Serban, Alessandro Sordoni, Yoshua Bengio, Aaron Courville, and Joelle
Building end-to-end dialogue systems using generative hierarchical
neural network models.
In Thirtieth AAAI Conference on Artificial Intelligence, 2016.

[618]
Iulian Vlad Serban, Alberto García-Durán, Caglar Gulcehre, Sungjin
Ahn, Sarath Chandar, Aaron Courville, and Yoshua Bengio.
Generating factoid questions with recurrent neural networks: The 30m
factoid question-answer corpus.
arXiv preprint arXiv:1603.06807, 2016.

[619]
Pieter Seuren.
Semantic syntax.
Brill, 2017.

[620]
Behrooz Seyed-Abbassi.
A SQL project as a learning method in a database course.
In Proceedings of the 1993 conference on Computer personnel
research, pages 291–297. ACM, 1993.

[621]
Seyyed Hossein Seyyedi and Behrouz Minaei-Bidgoli.
Estimator learning automata for feature subset selection in
high-dimensional spaces, case study: Email spam detection.
International Journal of Communication Systems, 31(8):e3541,

[622]
K Shabaz, Jim D O'Shea, Keeley A Crockett, and A Latham.
Aneesah: A conversational natural language interface to databases.
In Proceedings of the World Congress on Engineering, volume 1,

[623]
Russell L Shackelford.
Introduction to computing and algorithms.
Addison-Wesley Longman Publishing Co., Inc., 1997.

[624]
Hirav Shah and Amit Sengupta.
Designing mobile based computational support for low-literate
community health workers.
International Journal of Human-Computer Studies, 115:1–8,

[625]
Axita Shah, Jyoti Pareek, Hemal Patel, and Namrata Panchal.
NLKBIDB-natural language and keyword based interface to database.
In 2013 International conference on advances in computing,
communications and informatics (ICACCI), pages 1569–1576. IEEE, 2013.

[626]
Philipp Shah, Marc Berges, and Peter Hubwieser.
Qualitative content analysis of programming errors.
In Proceedings of the 5th International Conference on
Information and Education Technology, pages 161–166. ACM, 2017.

[627]
Subana Shanmuganathan.
Artificial neural network modelling: An introduction.
In Artificial Neural Network Modelling, pages 1–14. Springer,

[628]
Aakanksha Sharaff, Naresh Kumar Nagwani, and Abhishek Dhadse.
Comparative study of classification algorithms for spam email
In Emerging research in computing, information, communication
and applications, pages 237–244. Springer, 2016.

[629]
Amal Shargabi, Syed Ahmad Aljunid, Muthukkaruppanan Annamalai, Shuhaida Mohamed
Shuhidan, and Abdullah Mohd Zin.
Program comprehension levels of abstraction for novices.
In International Conference on Computer, Communications, and
Control Technology, pages 211–215. IEEE, 2015.

[630]
Lakshay Sharma, Laura Graesser, Nikita Nangia, and Utku Evci.
Natural language understanding with the quora question pairs dataset.
arXiv preprint arXiv:1907.01041, 2019.

[631]
L Sharmila and U Sakthi.
Chronological pattern exploration algorithm for gene expression data
clustering and classification.
Wireless Personal Communications, 102(2):1503–1519, 2018.

[632]
John Shawe-Taylor, Nello Cristianini, et al.
Kernel methods for pattern analysis.
Cambridge university press, 2004.

[633]
Saeedeh Shekarpour, Edgard Marx, Axel-Cyrille Ngonga Ngomo, and Sören Auer.
Sina: Semantic interpretation of user queries for question answering
on interlinked data.
Journal of Web Semantics, 30:39–51, 2015.

[634]
Brian Sheldon.
Cognitive-behavioural therapy: research and practice in health
and social care.
Routledge, 2011.

[635]
Peter B Sheridan.
The arithmetic translator-compiler of the IBM FORTRAN automatic
coding system.
Communications of the ACM, 2(2):9–21, 1959.

[636]
Ben Shneiderman.
Improving the human factors aspect of database interactions.
ACM Transactions on Database Systems (TODS), 3(4):417–439,

[637]
Ben Shneiderman.
Creating creativity: user interfaces for supporting innovation.
ACM Transactions on Computer-Human Interaction, 7(1):114–138,

[638]
Craig A Shue, Minaxi Gupta, John J Lubia, Chin Hua Kong, and Asim Yuksel.
Spamology: A study of spam origins.
In the 6th Conference on Email and Anti-Spam (CEAS), 2009.

[639]
Heung-Yeung Shum, Xiao-dong He, and Di Li.
From Eliza to XiaoIce: challenges and opportunities with social
Frontiers of Information Technology & Electronic Engineering,
19(1):10–26, 2018.

[640]
Keng Siau and Xin Tan.
Cognitive mapping techniques for user-database interaction.
IEEE transactions on professional communication, 49(2):96–108,

[641]
Yasin N Silva, Isadora Almeida, and Michell Queiroz.
SQL: From traditional databases to big data.
In Proceedings of the 47th ACM Technical Symposium on Computing
Science Education, pages 413–418. ACM, 2016.

[642]
Rishabh Singh, Sumit Gulwani, and Armando Solar-Lezama.
Automated feedback generation for introductory programming
ACM Special Interest Group on Programming Languages Notices,
48(6):15–26, 2013.

[643]
Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-june Paul Hsu,
and Kuansan Wang.
An overview of microsoft academic service (mas) and applications.
In Proceedings of the 24th international conference on world
wide web, pages 243–246. ACM, 2015.

[644]
Michael Sipser.
Introduction to the Theory of Computation, volume 2.
Thomson Course Technology Boston, 2006.

[645]
Richard Socher, Yoshua Bengio, and Christopher D Manning.
Deep learning for NLP (without magic).
In Tutorial Abstracts of ACL 2012, pages 5–5. Association for
Computational Linguistics, 2012.

[646]
Mario Soflano, Thomas M Connolly, and Thomas Hainey.
Learning style analysis in adaptive GBL application to teach SQL.
Computers & Education, 86:105–119, 2015.

[647]
Artem Sokolov, Julia Kreutzer, Christopher Lo, and Stefan Riezler.
Learning structured predictors from bandit feedback for interactive
In Proceedings of the 54th Annual Meeting of the Association for
Computational Linguistics (Volume 1: Long Papers), pages 1610–1620, 2016.

[648]
Elliot Soloway and Kate Ehrlich.
Empirical studies of programming knowledge.
IEEE Transactions on software engineering, (5):595–609, 1984.

[649]
Ian Sommerville.
Software Engineering.
Addison-Wesley, Boston, MA, USA, 10th edition, 2015.

[650]
Dezhao Song, Frank Schilder, Charese Smiley, Chris Brew, Tom Zielund, Hiroko
Bretz, Robert Martin, Chris Dale, John Duprey, Tim Miller, et al.
TR Discover: A natural language interface for querying and
analyzing interlinked datasets.
In International Semantic Web Conference, pages 21–37.
Springer, 2015.

[651]
Erik LL Sonnhammer, Gunnar Von Heijne, Anders Krogh, et al.
A hidden Markov model for predicting transmembrane helices in
protein sequences.
In Ismb, volume 6, pages 175–182, 1998.

[652]
Benjamin Sowell, Alan Demers, Johannes Gehrke, Nitin Gupta, Haoyuan Li, and
Walker White.
From declarative languages to declarative processing in computer
arXiv preprint arXiv:0909.1770, 2009.

[653]
Ahmet Soylu, Martin Giese, Ernesto Jimenez-Ruiz, Guillermo Vega-Gorgojo, and
Ian Horrocks.
Experiencing optiqueVQS: a multi-paradigm and ontology-based visual
query system for end users.
Universal Access in the Information Society, 15(1):129–152,

[654]
Ahmet Soylu, Martin Giese, Ernesto Jimenez-Ruiz, Evgeny Kharlamov, Dmitriy
Zheleznyakov, and Ian Horrocks.
Ontology-based end-user visual query formulation: Why, what, who,
how, and which?
Universal Access in the Information Society, 16(2):435–467,

[655]
Bhargav Srinivasa-Desikan.
Natural Language Processing and Computational Linguistics: A
practical guide to text analysis with Python, Gensim, spaCy, and
Packt Publishing Ltd, 2018.

[656]
Savitha Srinivasan and Eric Brown.
Is speech recognition becoming mainstream?
Computer, (4):38–41, 2002.

[657]
Christopher W Starr, Bill Manaris, and RoxAnn H Stalvey.
Bloom's taxonomy revisited: specifying assessable learning
objectives in computer science.
In ACM SIGCSE Bulletin, volume 40, pages 261–265. ACM, 2008.

[658]
Kamenka Staykova.
Natural language generation and semantic technologies.
Cybernetics and Information Technologies, 14(2):3–23, 2014.

[659]
Roger Alan Stein, Patricia A Jaques, and João Francisco Valiati.
An analysis of hierarchical text classification using word
Information Sciences, 471:216–232, 2019.

[660]
M-A Storey.
Theories, methods and tools in program comprehension: Past, present
and future.
In 13th International Workshop on Program Comprehension
(IWPC'05), pages 181–191. IEEE, 2005.

[661]
Margaret-Anne Storey.
Theories, tools and research methods in program comprehension: past,
present and future.
Software Quality Journal, 14(3):187–208, 2006.

[662]
Milan Straka and Jana Straková.
Tokenizing, PoS tagging, lemmatizing and parsing UD 2.0 with
In Proceedings of the CoNLL 2017 Shared Task: Multilingual
Parsing from Raw Text to Universal Dependencies, pages 88–99, 2017.

[663]
Pascal Sturmfels, Saige Rutherford, Mike Angstadt, Mark Peterson, Chandra
Sripada, and Jenna Wiens.
A domain guided CNN architecture for predicting age from structural
brain images.
arXiv preprint arXiv:1808.04362, 2018.

[664]
B Sujatha, Dr S Viswanadha Raju, and Humera Shaziya.
A survey of natural language interface to database management system.
International Journal of Science and Advance Technology,
2(6):56–61, 2012.

[665]
Chen Sun, Abhinav Shrivastava, Saurabh Singh, and Abhinav Gupta.
Revisiting unreasonable effectiveness of data in deep learning era.
In Proceedings of the IEEE international conference on computer
vision, pages 843–852, 2017.

[666]
Shiliang Sun, Chen Luo, and Junyu Chen.
A review of natural language processing techniques for opinion mining
Information fusion, 36:10–25, 2017.

[667]
Sukanya Suranauwarat.
An approach to solving technical difficulties facing non-CS
students in a database class.
International Journal of Modern Education and Computer Science,
9(2):14, 2017.

[668]
John Sweller.
Cognitive load during problem solving: Effects on learning.
Cognitive science, 12(2):257–285, 1988.

[669]
John Sweller.
The worked example effect and human cognition.
Learning and instruction, 16(2):165–169, 2006.

[670]
Soni Sweta and Kanhaiya Lal.
Learner model for automatic detection of learning style using FCM
in adaptive e-learning system.
IOSR Journal of Engineering, 18(2):18–24, 2016.

[671]
Toni Taipalus, Mikko Siponen, and Tero Vartiainen.
Errors and complications in SQL query formulation.
ACM Transactions on Computing Education (TOCE), 18(3):15, 2018.

[672]
Nassim Nicholas Taleb.
Antifragile: Things That Gain from Disorder (Incerto
Book 3).
Random House, New York, NY, USA, 2012.

[673]
Bo Tang, Haibo He, Paul M Baggenstoss, and Steven Kay.
A Bayesian classification approach using class-specific features
for text categorization.
IEEE Transactions on Knowledge and Data Engineering,
28(6):1602–1606, 2016.

[674]
Yichuan Tang.
Deep learning using linear support vector machines.
arXiv preprint arXiv:1306.0239, 2013.

[675]
Jenny A Thomas.
Meaning in interaction: An introduction to pragmatics.
Routledge, 2014.

[676]
Errol Thompson, Andrew Luxton-Reilly, Jacqueline L Whalley, Minjie Hu, and Phil
Bloom's taxonomy for CS assessment.
In Proceedings of the tenth conference on Australasian computing
education-Volume 78, pages 155–161. Australian Computer Society, Inc.,

[677]
P Thurley and R Dennick.
Problem-based learning and radiology.
Clinical radiology, 63(6):623–628, 2008.

[678]
Jenifer Tidwell.
Common ground: A pattern language for human-computer interface
design, 1999.

[679]
Jenifer Tidwell.
UI patterns and techniques.
Zdroj: www. mit. edu/ jtidwell, 2002.

[680]
Jenifer Tidwell.
Designing interfaces: Patterns for effective interaction
" O'Reilly Media, Inc.", 2010.

[681]
Abigail Tittizer and Venkatesan Ramamoorthy.
Systems and methods for managing data associated with computer
code, 2006.
US Patent App. 11/379,390.

[682]
Kenneth G Tobin.
Constructivism as a referent for teaching and learning.
In The practice of constructivism in science education, pages
19–38. Routledge, 2012.

[683]
Diego A Tobon-Mejia, Kamal Medjaher, Noureddine Zerhouni, and Gérard
Hidden Markov models for failure diagnostic and prognostic.
In 2011 Prognostics and System Health Managment Confernece,
pages 1–8. IEEE, 2011.

[684]
Zahra S Torabi, Mohammad H Nadimi-Shahraki, and Akbar Nabiollahi.
Efficient support vector machines for spam detection: a survey.
International Journal of Computer Science and Information
Security, 13(1):11, 2015.

[685]
Robert Lawrence Trask.
A dictionary of phonetics and phonology.
Routledge, 2004.

[686]
Stephen Tratz, Antonio Sanfilippo, Michelle Gregory, Alan Chappell, Christian
Posse, and Paul Whitney.
Pnnl: A supervised maximum entropy approach to word sense
In Proceedings of the 4th International Workshop on Semantic
Evaluations, pages 264–267. Association for Computational Linguistics,

[687]
Huong May Truong.
Integrating learning styles and adaptive e-learning system: Current
developments, problems and opportunities.
Computers in Human Behavior, 55:1185–1193, 2016.

[688]
Reut Tsarfaty, Djamé Seddah, Yoav Goldberg, Sandra Kübler, Marie
Candito, Jennifer Foster, Yannick Versley, Ines Rehbein, and Lamia Tounsi.
Statistical parsing of morphologically rich languages (SPMRL):
what, how and whither.
In Proceedings of the NAACL HLT 2010 First Workshop on
Statistical Parsing of Morphologically-Rich Languages, pages 1–12.
Association for Computational Linguistics, 2010.

[689]
Alexander Turchin, Nikheel S Kolatkar, Richard W Grant, Eric C Makhni, Merri L
Pendergrass, and Jonathan S Einbinder.
Using regular expressions to abstract blood pressure and treatment
intensification information from the text of physician notes.
Journal of the American Medical Informatics Association,
13(6):691–695, 2006.

[690]
Mark Twain.
Morphology: the words of language.

[691]
Jeffrey D Ullman and Alfred V Aho.
Principles of compiler design.
Reading: Addison Wesley, 1977.

[692]
Prasetya Utama, Nathaniel Weir, Carsten Binnig, and Ugur Çetintemel.
Voice-based data exploration: Chatting with your database.
In Proceedings of the 2017 workshop on Search-Oriented
Conversational AI, pages 1–6, 2017.

[693]
Prasetya Utama, Nathaniel Weir, Fuat Basik, Carsten Binnig, Ugur Cetintemel,
Benjamin Hättasch, Amir Ilkhechi, Shekar Ramaswamy, and Arif Usta.
An end-to-end neural natural language interface for databases.
arXiv preprint arXiv:1804.00401, 2018.

[694]
Mark Van den Brand, P-E Moreau, and Jurgen Vinju.
Generator of efficient strongly typed abstract syntax trees in
IEE Proceedings-Software, 152(2):70–78, 2005.

[695]
Tamara Van Gog, Liesbeth Kester, and Fred Paas.
Effects of worked examples, example-problem, and problem-example
pairs on novices’ learning.
Contemporary Educational Psychology, 36(3):212–218, 2011.

[696]
TLM Van Kasteren, Gwenn Englebienne, and Ben JA Kröse.
Activity recognition using semi-Markov models on real world smart
home datasets.
Journal of ambient intelligence and smart environments,
2(3):311–325, 2010.

[697]
Ward Van Wanrooij and Aiko Pras.
Filtering spam from bad neighborhoods.
International Journal of Network Management, 20(6):433–444,

[698]
Martijn Van Welie and Gerrit C Van der Veer.
Pattern languages in interaction design: Structure and organization.
In Proceedings of interact, volume 3, pages 1–5, 2003.

[699]
Anne-Marie A Verenna, Kim A Noble, Helen E Pearson, and Susan M Miller.
Role of comprehension on performance at higher levels of Bloom's
taxonomy: Findings from assessments of healthcare professional students.
Anatomical sciences education, 11(5):433–444, 2018.

[700]
Amit Verma, Kirill M Yurov, Peggy L Lane, and Yuliya V Yurova.
An investigation of skill requirements for business and data
analytics positions: A content analysis of job advertisements.
Journal of Education for Business, 94(4):243–250, 2019.

[701]
Jan D Vermunt and Vincent Donche.
A learning patterns perspective on student learning in higher
education: state of the art and moving forward.
Educational Psychology Review, 29(2):269–299, 2017.

[702]
Anneliese Von Mayrhauser and A Marie Vans.
From program comprehension to tool requirements for an industrial
In [1993] IEEE Second Workshop on Program Comprehension, pages
78–86. IEEE, 1993.

[703]
Anneliese Von Mayrhauser and A Marie Vans.
Program comprehension during software maintenance and evolution.
Computer, 28(8):44–55, 1995.

[704]
Ellen M Voorhees and Donna Harman.
The Text REtrieval Conference (trec): History and plans for
In ACM SIGIR Forum, volume 33, pages 12–15. ACM, 1999.

[705]
Athanasios Voulodimos, Nikolaos Doulamis, Anastasios Doulamis, and Eftychios
Deep learning for computer vision: A brief review.
Computational intelligence and neuroscience, 2018, 2018.

[706]
Richard S Wallace.
The anatomy of ALICE.
In Parsing the Turing Test, pages 181–210. Springer, 2009.

[707]
Sebastian Walter, Christina Unger, Philipp Cimiano, and Daniel Bär.
Evaluation of a layered approach to question answering over linked
In International Semantic Web Conference, pages 362–374.
Springer, 2012.

[708]
Kevin Wang, Corey McCaffrey, Daniel Wendel, and Eric Klopfer.
3D game design with programming blocks in StarLogo TNG.
In Proceedings of the 7th international conference on Learning
sciences, pages 1008–1009. International Society of the Learning Sciences,

[709]
Xinggang Wang, Buyun Sheng, Liang Xue, and Zheng Xiao.
Classification of customer requirements on map reduce-based naive
In 2016 IEEE International Conference on Big Data Analysis
(ICBDA), pages 1–4. IEEE, 2016.

[710]
Chenglong Wang, Alvin Cheung, and Rastislav Bodik.
Interactive query synthesis from input-output examples.
In Proceedings of the ACM International Conference on Management
of Data, pages 1631–1634. ACM, 2017.

[711]
Chenglong Wang, Alvin Cheung, and Rastislav Bodik.
Synthesizing highly expressive SQL queries from input-output
In ACM Special Interest Group on Programming Languages
Notices, volume 52, pages 452–466. ACM, 2017.

[712]
Patrick T Ward.
Teaching of SQL Through a Game.
PhD thesis, 2015.

[713]
Gregory L Ward.
The semantics and pragmatics of preposing.
Routledge, 2016.

[714]
William Warner and Julia Hirschberg.
Detecting hate speech on the world wide web.
In Proceedings of the second workshop on language in social
media, pages 19–26. Association for Computational Linguistics, 2012.

[715]
Elizabeth Warnke.
Technical writing for software documentation writers: A textbook on
process and product.

[716]
D Warren and F Pereira.
An efficient for interpreting easily adaptable system natural
language queries.
American Journal, 8(3-4):110–122, 1982.

[717]
Alessandro Warth, Takashi Yamamiya, Yoshiki Ohshima, and Scott Wallace.
Toward a more scalable end-user scripting language.
In Sixth International Conference on Creating, Connecting and
Collaborating through Computing, pages 172–178. IEEE, 2008.

[718]
Christopher Watson, Frederick WB Li, and Rynson WH Lau.
Learning programming languages through corrective feedback and
concept visualisation.
In International Conference on Web-Based Learning, pages
11–20. Springer, 2011.

[719]
Joseph Weizenbaum et al.
ELIZA—a computer program for the study of natural language
communication between man and machine.
Communications of the ACM, 9(1):36–45, 1966.

[720]
Jason Weston, Frédéric Ratle, Hossein Mobahi, and Ronan Collobert.
Deep learning via semi-supervised embedding.
In Neural Networks: Tricks of the Trade, pages 639–655.
Springer, 2012.

[721]
Susan Wiedenbeck.
Beacons in computer program comprehension.
International Journal of Man-Machine Studies, 25(6):697–709,

[722]
Graham Wilcock.
Text annotation with openNLP and Uima.

[723]
Derek Wilcocks and Ian Sanders.
Animating recursion as an aid to instruction.
Computers & Education, 23(3):221–226, 1994.

[724]
Reinhard Wilhelm, Helmut Seidl, and Sebastian Hack.
Compiler design: Syntactic and semantic analysis.
Springer Science & Business Media, 2013.

[725]
Dale-Marie Wilson, Aqueasha M Martin, and Juan E Gilbert.
How may i help you'- spoken queries for technical assistance.
In Proceedings of the 48th Annual Southeast Regional
Conference, page 43. ACM, 2010.

[726]
Leslie Owen Wilson.
Anderson and krathwohl–Bloom’s taxonomy revised.
Accessed online: https://thesecondprinciple.
com/teaching-essentials/beyond-bloom-cognitive-taxonomy-revised, 2018.

[727]
Terry Winograd.
A procedural model of language understanding.

[728]
Rebecca Winthrop and Eileen McGivney.
Why wait 100 years? bridging the gap in global education.
The Brookings Institution, 2015.

[729]
Donald M Wolfe and David A Kolb.
Career development, personal growth and experiential learning.
D. Kolb, IM Rubin and JM McIntyre op. cit, 1984.

[730]
Alexander Wood, Vladimir Shpilrain, Kayvan Najarian, and Delaram Kahrobaei.
Private naive Bayes classification of personal biomedical data:
Application in cancer data analysis.
Computers in biology and medicine, 105:144–150, 2019.

[731]
William Woods.
The lunar sciences natural language information system.
BBN report, 1972.

[732]
William A Woods.
Progress in natural language understanding: an application to lunar
In Proceedings of the June 4-8, 1973, national computer
conference and exposition, pages 441–450. ACM, 1973.

[733]
William A Woods.
Semantics and quantification in natural language question answering.
In Advances in computers, volume 17, pages 1–87. Elsevier,

[734]
Beverly Park Woolf.
Building intelligent interactive tutors: Student-centered
strategies for revolutionizing e-learning.
Morgan Kaufmann, 2010.

[735]
Vishal Wudaru, Nikhil Koditala, Aruneswara Reddy, and Radhika Mamidi.
Question answering on structured data using NLIDB approach.
In 2019 5th International Conference on Advanced Computing &
Communication Systems (ICACCS), pages 1–4. IEEE, 2019.

[736]
Yinglian Xie, Fang Yu, Kannan Achan, Rina Panigrahy, Geoff Hulten, and Ivan
Spamming botnets: signatures and characteristics.
ACM SIGCOMM Computer Communication Review, 38(4):171–182,

[737]
Xiaojun Xu, Chang Liu, and Dawn Song.
SQLnet: Generating structured queries from natural language without
reinforcement learning.
arXiv preprint arXiv:1711.04436, 2017.

[738]
Kun Xu, Lingfei Wu, Zhiguo Wang, Mo Yu, Liwei Chen, and Vadim Sheinin.
SQL-to-text generation with graph-to-sequence model.
arXiv preprint arXiv:1809.05255, 2018.

[739]
Shuo Xu.
Bayesian naïve Bayes classifiers to text classification.
Journal of Information Science, 44(1):48–59, 2018.

[740]
Navid Yaghmazadeh, Yuepeng Wang, Isil Dillig, and Thomas Dillig.
SQLizer: query synthesis from natural language.
Proceedings of the ACM on Programming Languages, 1(OOPSLA):63,

[741]
Navid Yaghmazadeh, Yuepeng Wang, Isil Dillig, and Thomas Dillig.
Type-and content-driven synthesis of SQL queries from natural
arXiv preprint arXiv:1702.01168, 2017.

[742]
Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W Cohen, Ruslan
Salakhutdinov, and Christopher D Manning.
HotpotQA: A dataset for diverse, explainable multi-hop question
arXiv preprint arXiv:1809.09600, 2018.

[743]
Alaeeddine Yassine, Driss Chenouni, Mohammed Berrada, and Ahmed Tahiri.
A serious game for learning C programming language concepts using
Solo taxonomy.
International Journal of Emerging Technologies in Learning
(iJET), 12(03):110–127, 2017.

[744]
Wilairat Yathongchai, Jitimon Angskun, and Chun Che FUNG.
An ontology model for developing a SQL personalized intelligent
tutoring system.
Naresuan University Journal: Science and Technology,
25(4):88–96, 2017.

[745]
Sheng Yu.
Regular languages.
Handbook of Formal Languages: Volume 1 Word, Language, Grammar,
page 41, 2012.

[746]
Chi Yuan, Patrick B Ryan, Casey Ta, Yixuan Guo, Ziran Li, Jill Hardin, Rupa
Makadia, Peng Jin, Ning Shang, Tian Kang, et al.
Criteria2query: a natural language interface to clinical databases
for cohort definition.
Journal of the American Medical Informatics Association,
26(4):294–305, 2019.

[747]
Vlad-Andrei Zamfir, Mihai Carabas, Costin Carabas, and Nicolae Tapus.
Systems monitoring and big data analysis using the elasticsearch
In 2019 22nd International Conference on Control Systems and
Computer Science (CSCS), pages 188–193. IEEE, 2019.

[748]
Sai Zhang and Yuyin Sun.
Automatically synthesizing SQL queries from input-output examples.
In 2013 28th IEEE/ACM International Conference on Automated
Software Engineering (ASE), pages 224–234. IEEE, 2013.

[749]
Nan Zhang, Xianghang Mi, Xuan Feng, XiaoFeng Wang, Yuan Tian, and Feng Qian.
Understanding and mitigating the security risks of voice-controlled
third-party skills on Amazon Alexa and Google Home.
arXiv preprint arXiv:1805.01525, pages 1–16, 2018.

[750]
Hong Zhang, Hanshuo Wei, Yeye Tang, and Qiumei Pu.
Research on classification of scientific and technological documents
based on naive Bayes.
In Proceedings of the 2019 11th International Conference on
Machine Learning and Computing, pages 327–331. ACM, 2019.

[751]
Yang Zhang, Tianyuan Liu, Liqun Chen, Jinxurong Yang, Jiayi Yin, Yuncong Zhang,
Zhixi Yun, Hao Xu, Lin Ning, Fengbiao Guo, et al.
Riscoper: a tool for RNA–RNA interaction extraction from the
Bioinformatics, 2019.

[752]
Yao Zhao, Yinglian Xie, Fang Yu, Qifa Ke, Yuan Yu, Yan Chen, and Eliot Gillum.
BotGraph: Large scale spamming botnet detection.
In NSDI, volume 9, pages 321–334, 2009.

[753]
Xiaoqing Zheng, Hanyang Chen, and Tianyu Xu.
Deep learning for Chinese word segmentation and PoS tagging.
In Proceedings of the 2013 Conference on Empirical Methods in
Natural Language Processing, pages 647–657, 2013.

[754]
Weiguo Zheng, Hong Cheng, Lei Zou, Jeffrey Xu Yu, and Kangfei Zhao.
Natural language question/answering: Let users talk with the
knowledge graph.
In Proceedings of the 2017 ACM on Conference on Information and
Knowledge Management, pages 217–226. ACM, 2017.

[755]
Barret Zoph, Deniz Yuret, Jonathan May, and Kevin Knight.
Transfer learning for low-resource neural machine translation.
arXiv preprint arXiv:1604.02201, 2016.