Challenges in Natural Language Processing Applications

#n-grams #nlp #moodle #pos #pos-snlp #linguistics #machine-learning #part-of-speech #gpt-3.5 #gpt-4 #word-n-gram #rnn #recurrent-neural-network #llm #large-language-models #neural-networks #ai #artificial-intelligence
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Join the Buffalo Computer Society Chapter in welcoming Distinguished Visitor, Maiga Chang, on Thursday February 29, at 2 PM CST/4 PM ET, when he gives a virtual presentation for our second installment on the Neural Networks of AI.

Prof. Maiga Chang's research group uses Natural Language Processing techniques including n-grams and part-of-speech tags to analyze large datasets like CORD-19, DBpedia, and Google Books to build an online summary generation system  (https://ask4summary.vipresearch.ca/) and Moodle plugin Ask4Summary (https://moodle.org/plugins/block_ask4summary) that are capable of reading articles regarding Coronavirus and course content and provide summary for users’ questions. This talk will explain to audience what and how we have done step-by-step to reach the goal; how the fundamental service like the valid n-grams identifier service (https://ngrampos.vipresearch.ca/) that can help developers and researchers; what are the challenges we have encountered; and what are the plans and potentional ways for investigating and overcoming those challenges.

At the end, Ask4Summary has reached 82.69% success rate for providing quick (0.766 seconds in average) responses of course relevant questions and is available for users in interactive web, Moodle plug-in form, and Python library. With the help of Statistical and Neural NLP, our Authorship Fingerprinting research is capable to correctly distinguish the works created by GPT 3.5, GPT 4, and human authors with recall rate 98.84% in our preliminary study.

(Photos: Maiga Chang at Ask4Summary, POS SNLP chart)


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  • Date: 29 Feb 2024
  • Time: 04:00 PM to 05:00 PM
  • All times are (UTC-05:00) Eastern Time (US & Canada)
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  • Starts 06 February 2024 05:06 PM
  • Ends 29 February 2024 05:06 PM
  • All times are (UTC-05:00) Eastern Time (US & Canada)
  • No Admission Charge

  Speakers

Dr. Maiga Chang Dr. Maiga Chang

Biography:

Dr. Maiga Chang is a Full Professor in the School of Computing and Information Systems at Athabasca University, Canada. He has recently received Distinguished Researcher Award from Asia Pacific Society on Computers in Education (APSCE) this year. Dr. Chang has given more than 135 talks and lectures in different events. He also has (co-)authored more than 240 book chapters, journal and international conference papers. He is an IEEE member since 1996.  Dr. Chang is currently the chair of the IEEE (Institute of Electrical and Electronics Engineers) Technical Community of Learning Technology (TCLT) as well as the editor-in-chief of Educational Technology and Society, which is indexed by Web of Science’s Social Science Citation Index (SSCI). In addition, He is also the editor-in-chief of the International Journal of Distance Education Technologies (IJDET) and the Bulletin of Technical Committee on Learning Technology – both are open access publication indexed by Web of Science Emerging Sources Citation Index (ESCI).  Dr. Chang is now Vice President (2022~) of International Association of Smart Learning Environments (IASLE); Executive Committee member of Asia-Pacific Society for Computers in Education (APSCE, 2017~2024), IEEE Computer Society Technical & Conference Activities Board (2022), Global Chinese Society for Computing in Education (GCSCE, 2016~2025), IEEE Computer Society Special Technical Communities (2021~); and Chair (2021~) of Educational Activities Committee, IEEE Northern Canada Section. Dr. Chang is also a Steering Committee member (2020~) for International Conference on Intelligent Tutoring Systems (ITS).  In the last two decades, Dr. Chang’s research directions are Data Analytics Service and Game-based Learning.