Talk
For an invite to the online talk, email ttytko@umd.edu.
The importance of (good) input for formulaic language learning and processing
**Out of respect for our speaker, we kindly ask that attendees have their camera turned on for the duration of the presentation**
Causal machine learning and challenges in decision-making with real-world data
Challenges and Opportunities in Evaluating Progress in NLP
Abstract: The past few years have seen remarkable advances in NLP, as evidenced both by continued and rapid gains on benchmark tasks, as well as by the increasing prominence of real NLP systems in the wild. In assessing such progress, however, it is important to ask not only what system achieves the best performance, but how it achieves that level of performance, how much we can trust the evaluation, and what the consequences of deploying such a system might be.
A Typology of Ethical Risks in Language Technology with an Eye Towards Where Transparent Documentation Can Help
African American English in 2nd and 3rd Grade Writing: Implications for Teacher Reflection and Education
Taffeta Wood (speaker) & Dr. Brandy Gatlin-Nash, University of California, Irvine
Bilingualism is the norm, not the exception: How using two or more languages shapes the mind and the brain and reflects society itself
Join us for a panel discussion with researchers who transitioned their lab-based research online over the summer.
Arynn Byrd (HESP) is using a web app to remotely administer a sentence-picture matching task with children. The goal of the study is to evaluate if there are differences in how children who speak different dialects use verb knowledge to disambiguate the sentence. Her web app displays pictures, plays audio, and gathers reaction times and accuracy using the child's tablet.
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