International Journal of Information Technology and Computer Science (IJITCS)
IJITCS Vol. 15, No. 4, 8 Aug. 2023
Cover page and Table of Contents: PDF (size: 1079KB)
CodeUP: A Web Application for Collaborative Question-answering System
Full Text (PDF, 1079KB), PP.33-49
Views: 0 Downloads: 0
Author(s)
Yashi Agarwal
1
P. Raghu Vamsi
1,*
Siddhant Jain
1
Jayant Goel
1
Index Terms
BERT, Collaborative Learning, Deep Learning Models, Electra, Knowledge Sharing, Natural Language Processing, Universal Sentence Encoder, Software Module, Question Answer
Abstract
The majority of collaborative learning and knowledge sharing (CLKS) platforms are built with numerous communication mediums, team and task management in mind. However, with the CLKS, the Question-Answering (QAs), User profile evaluation based on the quality of answers provided, and feeding of subject or project relevant data are all available. QAs are required for online or offline cooperation between team members or users. To that purpose, this paper presents a web application called CodeUP with features like QA system, Question similarity testing, and user profile rating for boosting communication and cooperation efficiency in CLKS for academic groups and small development teams. CodeUP is intended to be quickly established and step for academic or development groups to collaborate. As the CodeUP application supports the CLKS, it is also an ideal tool for academia and development teams to perform computer supported QA system and knowledge sharing in the sphere of work or study.
Cite This Paper
Yashi Agarwal, P. Raghu Vamsi, Siddhant Jain, Jayant Goel, "CodeUP: A Web Application for Collaborative Question-answering System", International Journal of Information Technology and Computer Science(IJITCS), Vol.15, No.4, pp.33-49, 2023. DOI:10.5815/ijitcs.2023.04.04
Reference
[1]D. I. Castaneda and S. Cuellar, "Knowledge sharing and innovation: A systematic review," Knowledge and Process Management, vol. 27, p. 159–173, 2020.
[2]T.-M. Nguyen, "Four-dimensional model: a literature review in online organisational knowledge sharing," VINE Journal of Information and Knowledge Management Systems, 2020.
[3]J. Yao, A. Crupi, A. Di Minin and X. Zhang, "Knowledge sharing and technological innovation capabilities of Chinese software SMEs," Journal of Knowledge Management, 2020.
[4]Y. Sun, X. Zhou, A. Jeyaraj, R.-A. Shang and F. Hu, "The impact of enterprise social media platforms on knowledge sharing: An affordance lens perspective," Journal of Enterprise Information Management, 2019.
[5]P. Setialana, A. Fitria, R. Atika, R. N. Fadilla and others, "Development of WeShare As a Knowledge Sharing Platform to Realize the Freedom in Learning," in Journal of Physics: Conference Series, 2021.
[6]P. V. Rao and A. P. S. Kumar, "The societal communication of the Q&A community on topic modeling," The Journal of Supercomputing, vol. 78, p. 1117–1143, June 2021.
[7]D. A. Prabowo and G. B. Herwanto, "Duplicate Question Detection in Question Answer Website using Convolutional Neural Network," in 2019 5th International Conference on Science and Technology (ICST), 2019.
[8]Ø. Tønnessen, A. Dhir and B.-T. Flåten, "Digital knowledge sharing and creative performance: Work from home during the COVID-19 pandemic," Technological Forecasting and Social Change, vol. 170, p. 120866, 2021.
[9]J. Hao, L. Liu, A. A. von Davier, N. Lederer, D. Zapata-Rivera, P. Jakl and M. Bakkenson, "EPCAL: ETS platform for collaborative assessment and learning," ETS Research Report Series, vol. 2017, p. 1–14, 2017.
[10]S. Chatterjee, N. P. Rana and Y. K. Dwivedi, "Social media as a tool of knowledge sharing in academia: an empirical study using valance, instrumentality and expectancy (VIE) approach," Journal of Knowledge Management, 2020.
[11]V. S. Rekha and S. Venkatapathy, "Understanding the Usage of Online Forums as Learning Platforms," Procedia Computer Science, vol. 46, p. 499–506, 2015.
[12]R. O. de Castro, C. Sanin, A. Levula and E. Szczerbicki, "The Development of a Conceptual Framework for Knowledge Sharing in Agile IT Projects," Cybernetics and Systems, vol. 53, p. 529–540, 2022.
[13]Y. Feng, Z. Yi, C. Yang, R. Chen and Y. Feng, "How do gamification mechanics drive solvers' Knowledge contribution? A study of collaborative knowledge crowdsourcing," Technological Forecasting and Social Change, vol. 177, p. 121520, April 2022.
[14]M. S. Faisal, A. Daud, A. U. Akram, R. A. Abbasi, N. R. Aljohani and I. Mehmood, "Expert ranking techniques for online rated forums," Computers in Human Behavior, vol. 100, p. 168–176, November 2019.
[15]A. Diyanati, B. S. Sheykhahmadloo, S. M. Fakhrahmad, M. H. Sadredini and M. H. Diyanati, "A proposed approach to determining expertise level of StackOverflow programmers based on mining of user comments," Journal of Computer Languages, vol. 61, p. 101000, December 2020.
[16]Y. Yang, S. Yuan, D. Cer, S.-y. Kong, N. Constant, P. Pilar, H. Ge, Y.-H. Sung, B. Strope and R. Kurzweil, "Learning Semantic Textual Similarity from Conversations," in Proceedings of The Third Workshop on Representation Learning for NLP, 2018.
[17]D. Cer, Y. Yang, S.-y. Kong, N. Hua, N. Limtiaco, R. S. John, N. Constant, M. Guajardo-Cespedes, S. Yuan, C. Tar, B. Strope and R. Kurzweil, "Universal Sentence Encoder for English," in Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2018.
[18]Y. Yang and C. Tar, "Advances in semantic textual similarity," Google AI Blog, 2018.
[19]J. Zhang and N. M. El-Gohary, "Semantic NLP-based information extraction from construction regulatory documents for automated compliance checking," Journal of Computing in Civil Engineering, vol. 30, p. 04015014, 2016.
[20]L. Wang, L. Zhang and J. Jiang, "Duplicate question detection with deep learning in stack overflow," IEEE Access, vol. 8, p. 25964–25975, 2020.
[21]T. Gogar, O. Hubacek and J. Sedivy, "Deep neural networks for web page information extraction," in IFIP International Conference on Artificial Intelligence Applications and Innovations, 2016.
[22]S. Pang, P. Bao and W. Gu, "Research into Consumers’ Continued Use Intention of Knowledge Sharing Platforms," in Education and Awareness of Sustainability: Proceedings of the 3rd Eurasian Conference on Educational Innovation 2020 (ECEI 2020), 2020.
[23]L. Nie, Y. Li, F. Feng, X. Song, M. Wang and Y. Wang, "Large-Scale Question Tagging via Joint Question-Topic Embedding Learning," ACM Transactions on Information Systems, vol. 38, p. 1–23, March 2020.
[24]S. K. Maity, A. Panigrahi, S. Ghosh, A. Banerjee, P. Goyal and A. Mukherjee, "DeepTagRec: A Content-cum-User Based Tag Recommendation Framework for Stack Overflow," in Lecture Notes in Computer Science, Springer International Publishing, 2019, p. 125–131.
[25]M. S. M. Jabbar, L. Kumar, H. W. Samuel, M.-Y. Kim, S. Prabharkar, R. Goebel and O. Zaiane, "DeepDup: Duplicate Question Detection in Community Question Answering," in 2021 5th International Conference on Deep Learning Technologies (ICDLT), 2021.
[26]M. M. Tambakhe and D. P. Wagh, "Duplicate Question Pair Detection with Machine Learning," BULLETIN MONUMENTAL, vol. 22, 2021.
[27]V. K. R. Anishaa, P. Sathvika and S. Rawat, "Identifying Similar Question Pairs Using Machine Learning Techniques," Indian Journal of Science and Technology, vol. 14, p. 1635–1641, May 2021.
[28]G. Elangovan, J. Umamageswaran, G. Indumathi and A. V. Kalpana, "Medical Quora Tagging using MATAR and LDA Algorithm," Journal of Physics: Conference Series, vol. 1964, p. 042029, July 2021.
[29]F. Sun, J. Liu, J. Wu, C. Pei, X. Lin, W. Ou and P. Jiang, "BERT4Rec: Sequential recommendation with bidirectional encoder representations from transformer," in Proceedings of the 28th ACM international conference on information and knowledge management, 2019.
[30]K. Clark, M.-T. Luong, Q. V. Le and C. D. Manning, "Electra: Pre-training text encoders as discriminators rather than generators," arXiv preprint arXiv:2003.10555, 2020.
[31]M. K. Ho, "Question classification via machine learning techniques," Nanyang Technological University.
[32]Annamoradnejad, M. Fazli and J. Habibi, "Predicting Subjective Features from Questions on QA Websites using BERT," in 2020 6th International Conference on Web Research (ICWR), 2020.
[33]A. Dhakal, A. Poudel, S. Pandey, S. Gaire and H. P. Baral, "Exploring Deep Learning in Semantic Question Matching," in 2018 IEEE 3rd International Conference on Computing, Communication and Security (ICCCS), 2018.
[34]R. Lahitani, A. E. Permanasari and N. A. Setiawan, "Cosine similarity to determine similarity measure: Study case in online essay assessment," in 2016 4th International Conference on Cyber and IT Service Management, 2016.
[35]D. Meenakshi and A. R. M. Shanavas, "Transformer induced enhanced feature engineering for contextual similarity detection in text," Bulletin of Electrical Engineering and Informatics, vol. 11, p. 2124–2130, August 2022.
[36]O. Habeh, F. Thekrallah, S. A. Salloum and K. Shaalan, "Knowledge sharing challenges and solutions within software development team: a systematic review," Recent Advances in Intelligent Systems and Smart Applications, p. 121–141, 2021.