Sep 9–12, 2019
Dulce Ponceleon

Dulce Ponceleon
Principal Research Staff Member, IBM Research - Almaden

Dulce Ponceleón is a principal research staff member in the Infrastructure for Intelligent Information Systems Group at IBM Research – Almaden. Her broad interests across different disciplines include natural language processing, machine learning, blockchain, and security. She led IBM’s content protection team resulting in significant contributions to Blu-ray Content Protection Standard’s consortium. Previously, she has worked in information retrieval, multimedia content analysis, video summarization, speech recognition, numerical linear algebra, nonlinear programming, storage systems, and content protection, and she was a key contributor to QuickTime Conferencing’s video and audio compression at Apple. She earned her master’s and PhD in computer science from Stanford University and her BS (cum laude) in computer science from Universidad Simon Bolivar in Caracas, Venezuela.


11:55am12:35pm Wednesday, September 11, 2019
Location: 230 B
Huaiyu Zhu (IBM Research - Almaden), Dulce Ponceleon (IBM Research - Almaden), Yunyao Li (IBM Research - Almaden)
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Natural language understanding (NLU) underlies a wide range of applications and services. Rich resources available for English do not exist for most other languages, but the questions of how to expand these resources without duplicating effort and if it's possible to develop language-agnostic NLU-dependent applications remains. Huaiyu Zhu, Dulce Ponceleon, and Yunyao Li believe the answer is yes. Read more.
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