Series
This talk has been cancelled.
Young children’s elicited productions of modal words: children differentiate modal “flavors” and forces
Machine Reading for Everyone
Abstract: Machine reading tools such as question answering systems have the potential to accelerate tasks that involve synthesizing information buried in vast text collections.
Recent advances in training deep neural networks have produced high performing machine reading models. However, the current success of deep learning hinges upon having large quantities of labeled data to robustly estimate model parameters. For many languages, little to no labeled data is available for this.
This event has been canceled.
Lisa Pearl (Department of Language Science & Cognitive Sciences; University of California, Irvine)
Arguments from acquisition for how to solve the linking problem
Amy Rose Deal (Department of Linguistics, UC Berkeley)
Relative embeddings, factivity, and propositional complementation
Daniel Harbour (Department of Linguistics; Queen Mary University of London)
Frankenduals and Features Theory
Dr. Margaret Livingstone (Department of Neurobiology, Harvard Medical School)
The development of specialized modules for recognizing faces, scenes, text, and bodies: what you see is what you get.
Dr. Andrea Halpern (Department of Psychology, Bucknell University)
Imagine That! Individual Differences in Auditory Imagery for Music
Dr. Judy Kroll (Department of Psychology, Linguistics, and Women's Studies; University of California, Riverside)
The fate of the native language in second language learning: A new hypothesis about bilingualism, mind, and brain
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