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DTSTART;TZID=America/New_York:20240229T160000
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DESCRIPTION:Join the Buffalo Computer Society Chapter in welcoming Distingu
 ished Visitor\, Maiga Chang\, on Thursday February 29\, at 2 PM CST/4 PM E
 T\, when he gives a virtual presentation for our second installment on the
  Neural Networks of AI.\n\nProf. 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 bui
 ld an online summary generation system (https://ask4summary.vipresearch.ca
 /) and Moodle plugin Ask4Summary (https://moodle.org/plugins/block_ask4sum
 mary) that are capable of reading articles regarding Coronavirus and cours
 e content and provide summary for users’ questions. This talk will expla
 in 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 (htt
 ps://ngrampos.vipresearch.ca/) that can help developers and researchers\; 
 what are the challenges we have encountered\; and what are the plans and p
 otentional ways for investigating and overcoming those challenges.\n\nAt t
 he end\, Ask4Summary has reached 82.69% success rate for providing quick (
 0.766 seconds in average) responses of course relevant questions and is av
 ailable for users in interactive web\, Moodle plug-in form\, and Python li
 brary. With the help of Statistical and Neural NLP\, our Authorship Finger
 printing 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 prelim
 inary study.\n\n(Photos: Maiga Chang at Ask4Summary\, POS SNLP chart)\n\nS
 peaker(s): Dr. Maiga Chang\, \n\nVirtual: https://events.vtools.ieee.org/m
 /405055
LOCATION:Virtual: https://events.vtools.ieee.org/m/405055
ORGANIZER:greg.koch@computer.org
SEQUENCE:305
SUMMARY:Challenges in Natural Language Processing Applications
URL;VALUE=URI:https://events.vtools.ieee.org/m/405055
X-ALT-DESC:Description: <br /><p>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 seco
 nd installment on the Neural Networks of AI.</p>\n<p>Prof. Maiga Chang's r
 esearch group uses Natural Language Processing techniques including n-gram
 s and part-of-speech tags to analyze large datasets like CORD-19\, DBpedia
 \, and Google Books to build an online summary generation system&nbsp\; (<
 a href="https://ask4summary.vipresearch.ca/" target="_blank" rel="noopener
 " data-saferedirecturl="https://www.google.com/url?q=https://ask4summary.v
 ipresearch.ca/&amp\;source=gmail&amp\;ust=1707251307367000&amp\;usg=AOvVaw
 30nAc7sjW11PUsnzCGoOo9">https://ask4summary.<wbr>vipresearch.ca/</a>) and 
 Moodle plugin Ask4Summary (<a href="https://moodle.org/plugins/block_ask4s
 ummary" target="_blank" rel="noopener" data-saferedirecturl="https://www.g
 oogle.com/url?q=https://moodle.org/plugins/block_ask4summary&amp\;source=g
 mail&amp\;ust=1707251307367000&amp\;usg=AOvVaw2yjyjcjsV9fh3RZObySyBL">http
 s://moodle.org/plugins/<wbr>block_ask4summary</a>) that are capable of rea
 ding articles regarding Coronavirus and course content and provide summary
  for users&rsquo\; questions. This talk will explain to audience what and 
 how we have done step-by-step to reach the goal\; how the fundamental serv
 ice like the valid n-grams identifier service (<a href="https://ngrampos.v
 ipresearch.ca/" target="_blank" rel="noopener" data-saferedirecturl="https
 ://www.google.com/url?q=https://ngrampos.vipresearch.ca/&amp\;source=gmail
 &amp\;ust=1707251307367000&amp\;usg=AOvVaw2GvBkzL8qTHRFH1buWYG6t">https://
 ngrampos.vipresearch.<wbr>ca/</a>) that can help developers and researcher
 s\; what are the challenges we have encountered\; and what are the plans a
 nd potentional ways for investigating and overcoming those challenges.<br>
 <br>At the end\, Ask4Summary has reached 82.69% success rate for providing
  quick (0.766 seconds in average) responses of course relevant questions a
 nd is available for users in interactive web\, Moodle plug-in form\, and P
 ython library. With the help of Statistical and Neural NLP\, our Authorshi
 p Fingerprinting research is capable to correctly distinguish the works cr
 eated by GPT 3.5\, GPT 4\, and human authors with recall rate 98.84% in ou
 r preliminary study.</p>\n<p>(Photos: Maiga Chang at Ask4Summary\, POS SNL
 P chart)</p>
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