Seminars
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Dan Ellis (Google)
12:00 pm
Dan Ellis (Google)
@ Hackerman B17
Oct 4 @ 12:00 pm – 1:15 pm
Title: Recognizing Sound Events Abstract: The Sound Understanding team at Google has been developing automatic sound classification tools with the ambition to cover all possible sounds – speech, music, and environmental. I will describe our application[...]
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Nirajan Balasubramanian (Stony Brook University) “Multi-hop QA, Modeling Events, and a Bit of Translation: Forays into Reuse, Decomposition and Control in Neural Models”
12:00 pm
Nirajan Balasubramanian (Stony Brook University) “Multi-hop QA, Modeling Events, and a Bit of Translation: Forays into Reuse, Decomposition and Control in Neural Models”
@ Hackerman Hall B17
Oct 11 @ 12:00 pm – 1:15 pm
Abstract In this three part talk, I will present some of our recent efforts that aim to control and adapt neural models to work more effectively in end applications. The first part will focus on[...]
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Najoung Kim – “Probing What Different NLP Tasks Teach Machines About Function Word Comprehension and Where To Go Next”
12:00 pm
Najoung Kim – “Probing What Different NLP Tasks Teach Machines About Function Word Comprehension and Where To Go Next”
Oct 14 @ 12:00 pm – 1:00 pm
Abstract: In this talk, I will mainly discuss a task-based approach to measure the effect of various pretraining objectives (e.g., language modeling, CCG supertagging) of sentence encoders on their understanding of function words. The tasks[...]
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Jerry Zhu (University of Wisconsin – Madison)
12:00 pm
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