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DTSTAMP:20250421T113230
DTSTART;TZID=America/Detroit:20250418T120000
DTEND;TZID=America/Detroit:20250418T160000
SUMMARY:Exhibition:Bloody Work: Lexington and Concord 1775
DESCRIPTION:The William L. Clements Library is pleased to announce a forthcoming exhibition in recognition of the 250th Anniversary of the military hostilities that began the American Revolutionary War. The Battles of Lexington and Concord are firmly established in American memory as the culmination of a range of governmental\, political\, economic\, and social tensions that amplified in the decade leading up to 1775. In this exhibit\, visitors will have the opportunity to see original historical manuscript letters\, documents\, newspapers\, and artwork that reveal aspects of the bloody work of Empire and individual alike in April 1775.\n\nAmong the items on display will be Commander in Chief of the British Army\, General Thomas Gage's draft orders for the Concord Expedition\, April 18\, 1775\; a bundle of letters collected by former Sons of Liberty supporter Dr. Benjamin Church\, which he secretly turned over to British Army intelligence\; letters by Silas Deane\, John Hancock\, and Rachel Revere\; and much more.\n\nOpen weekdays from 12-4 pm.
UID:134875-21875505@events.umich.edu
URL:https://events.umich.edu/event/134875
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Library,libraries,history,Free,Exhibition,Exhibit,Ann Arbor,Americana,american history,american culture
LOCATION:William Clements Library
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250404T180837
DTSTART;TZID=America/Detroit:20250418T120000
DTEND;TZID=America/Detroit:20250418T130000
SUMMARY:Lecture / Discussion:CSEAS Friday Lecture Series. Fact Checking in Low-Resource Languages: A New Dataset and Transformer Model for the Burmese Language
DESCRIPTION:Misinformation on Burmese social media is a serious problem\, fueling hate speech and violence\, especially during the 2017 Rohingya genocide. Despite efforts by platforms like Facebook to restrain harmful content using Burmese-speaking moderators and some automatic tools\, a limited number of moderators working for these platforms are often overwhelmed by the amount of content to be fact checked. The goal of this research is to leverage AI and machine learning to create automatic fact checking tools to assist human moderators. The challenge we encountered is the lack of training data and effective machine learning models. We addressed this challenge by creating a large dataset and natural language processing (NLP) models for fact checking in Burmese. We translated the Fake News Challenge (FNC-1) dataset (originally in English) into Burmese using machine translation. We then trained and evaluated three BERT-based classifiers for fact checking in Burmese using the machine-translated dataset. We also evaluated the three classifiers using a manually annotated Burmese dataset for a comparison with machine-translated data. The top-performing model achieves high predictive performance on both machine-translated and manually annotated data\, with an accuracy comparable to that of human fact checkers. Our results show that BERT-based models trained specifically for Burmese perform better than those trained with multi-lingual data (i.e.\, general multilingual models). This research presents a crucial first step toward creating datasets and tools for fact checking in Burmese and other low resource languages to combat misinformation online.\n   \n   Lwin Moe is currently a Ph.D. candidate in Computer Science at York University’s Lassonde School of Engineering. As part of his Ph.D. dissertation\, he studies fact checking and misinformation detection using machine learning in general\, and natural language processing (NLP) in particular.\n\nAccommodation: If there is anything we can do to make this event accessible to you\, please contact us. Please be aware that advance notice is necessary as some accommodations may require more time for the university to arrange.\n   Email: -- cseas@umich.edu
UID:133716-21873476@events.umich.edu
URL:https://events.umich.edu/event/133716
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Discussion,Southeast Asia,Lecture,center for southeast asian studies,Cseas Lecture Series
LOCATION:Weiser Hall - 110
CONTACT:
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