Computer Science and Engineering

Mr. Mir Tafseer Nayeem

Research Interests

• Natural Language Processing
• Deep Learning
• Computational Social Science

Educational Background

• Master of Science (MSc), (Computer Science (CS)), University of Lethbridge (UofL), Alberta, Canada
• Bachelor of Science (BSc), (Computer Science & Engineering (CSE)), Islamic University of Technology (IUT)

Honors and Achievements

• Best Paper Nomination at COLING 2018, International Conference on Computational Linguistics (COLING 2018), Santa Fe, New Mexico, USA, 2018
• Area Chair Favorites paper at COLING 2018, International Conference on Computational Linguistics (COLING 2018), Santa Fe, New Mexico, USA, 2018
• ACM SIGIR Student Travel Grant, ACM, 2017
• School of Graduate Studies (S.G.S) Research Dissemination Travel Award, School of Graduate Studies (S.G.S) at University of Lethbridge, Alberta, Canada, 2017
• Graduate Student’s Association (GSA) Travel Award, Graduate Student’s Association (GSA) at University of Lethbridge, Alberta, Canada, 2017
• School of Graduate Studies (S.G.S) International Tuition Award, School of Graduate Studies (S.G.S) at University of Lethbridge, Alberta, Canada, 2015
• School of Graduate Studies (S.G.S) Dean’s Scholarship, School of Graduate Studies (S.G.S) at University of Lethbridge, Alberta, Canada, 2015
• Graduate Assistantship (G.A.), University of Lethbridge, Alberta, Canada, 2015
• IUT-OIC Full Free Scholarship, Islamic University of Technology (IUT), Dhaka, Bangladesh, 2008
• HSC Talent Pool Scholarship, Board of Intermediate and Secondary Education, Cumilla, 2007
• SSC Talent Pool Scholarship, Board of Intermediate and Secondary Education, Cumilla, 2005

Publications

1. Neural Sentence Fusion for Diversity Driven Abstractive Multi-Document Summarization, Computer Speech & Language, 2019, Elsevier. URL
2. Human Cognition in Automated Turing Test Design, International Journal of Software Science and Computational Intelligence (IJSSCI) 6.4, 2014, IGI Publishing Hershey, PA, USA. URL

1. Simple or Complex? Learning to Predict Readability of Bengali Texts, Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021, AAAI. URL
2. Unsupervised Abstractive Summarization of Bengali Text Documents, 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021, ACL. URL
3. Automatic Individual Information Aggregation using Publicly Available Social Media Data, 22nd International Conference on Computer and Information Technology (ICCIT), 2019, IEEE. URL
4. Neural Diverse Abstractive Sentence Compression Generation, 41st European Conference on Information Retrieval (ECIR), 2019, Springer. URL
5. Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion, 27th International Conference on Computational Linguistics (COLING), 2018, ACL. URL
6. Extract with Order for Coherent Multi-Document Summarization, TextGraphs-11: the Workshop on Graph-based Methods for Natural Language Processing (ACL Workshop), 2017, ACL. URL
7. Towards Abstractive Multi-Document Summarization Using Submodular Function-Based Framework, Sentence Compression and Merging, 8th International Joint Conference on Natural Language Processing (IJCNLP), 2017, ACL. URL
8. Paraphrastic Fusion for Abstractive Multi-Sentence Compression Generation, 26th ACM International Conference on Information and Knowledge Management (CIKM), 2017, ACM. URL
9. Design of a Human Interaction Proof (HIP) using Human Cognition in Contextual Natural Conversation, IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing (IEEE ICCI*CC), 2014, IEEE. URL
10. Use of Human Cognition in HIP Design Via EmotIcons to Defend BOT Attacks, IEEE 15th International Conference on Computational Science and Engineering (IEEE CSE), 2012, IEEE. URL