Events

Bhuvana Ramabhadran (Google) “Transliteration Based Approaches for Multilingual, Code-Switched Languages”

January 16, 2020
When: February 21, 2020 @ 12:00 pm – 1:15 pm
Where: Hackerman Hall B17, 3400 N. Charles Street, Baltimore, MD 21218

Abstract Code-switching is a commonly occurring phenomenon in many multilingual communities, wherein a speaker switches between languages within a single utterance. Conventional Word Error Rate (WER) is not sufficient for measuring the performance of code-mixed[…]

Read More

Rada Mihalcea (University of Michigan) “Words and People”

January 16, 2020
When: February 10, 2020 @ 12:00 pm – 1:15 pm
Where: Hackerman Hall B17, 3400 N. Charles Street, Baltimore, MD 21218

Abstract Language is not only about the words, it is also about the people. While much of the work in computational linguistics has focused almost exclusively on words (and their relations), recent research in the[…]

Read More

Aaron White (University of Rochester) “Universal Decompositional Semantics”

November 26, 2019
When: December 6, 2019 @ 12:00 pm – 1:15 pm
Where: Hackerman Hall B17, 3400 N. Charles Street, Baltimore, MD 21218

Abstract Traditional semantic representation frameworks generally define complex, often exclusive category systems that require highly trained annotators to build. And in spite of their high quality for the cases they are designed to handle, these[…]

Read More

Rick Rose (Google) “Multimodal audio-visual speech processing at Google”

November 5, 2019
When: November 8, 2019 @ 12:00 pm – 1:15 pm
Where: Hackerman B17

Abstract: The increased availability of high resolution cameras and array microphones in live meetings, video production, and camera enabled assistant devices has created opportunities for exploiting multiple modalities in speech applications.  This presentation summarizes initial[…]

Read More

Ming Sun (Amazon) “Acoustic Event Detection at Amazon Alexa”

October 31, 2019
When: November 11, 2019 @ 12:00 pm – 1:15 pm
Where: Hackerman B17

Abstract Acoustic event detection (AED) refers to the task of detecting target events in audios. It provides artificial intelligence systems the capability to better understand surrounding environments. In this talk, I will discuss our team’s[…]

Read More

Center for Language and Speech Processing