11/18 speaker:

本週邀請到台灣大學 資訊工程學系  陳縕儂教授 / Dr. Yun-Nung (Vivian) Chen(卡內基美隆 大學/Carnegie Mellon University, Pittsburgh)，前來進行中文演講。

陳縕儂教授非常年輕且傑出，從2010年開始共發表了超過40篇國際論文，她的研究領域主要為語言理解、機器智慧、口語對話系統、深度學習、及自然語言處理之相關領域。 她曾榮獲IEEE ASRU 2013及IEEE SLT 2010的最佳學生論文獎、 ISCA INTERSPEECH 2012之最佳學生論文提名、 及ACLCLP之傑出碩士論文獎。

機會難得，敬請踴躍出席。

簡歷如下：

Bio:

Yun-Nung (Vivian) Chen is an assistant professor in the Department of Computer Science and Information Engineering at National Taiwan University. Her research interests include language understanding, dialogue systems, natural language processing, deep learning, and multimodality. She received Best Student Paper Awards from IEEE ASRU 2013 and IEEE SLT 2010 and a Student Best Paper Nominee from INTERSPEECH 2012. Chen earned the Ph.D. degree from School of Computer Science at Carnegie Mellon University, Pittsburgh in 2015, and then joined Microsoft Research for a research position in the Deep Learning Technology Center in 2016. (http://vivianchen.idv.tw)

講題與摘要如下：

Title:

Language Empowering Intelligent Assistants

Abstract:

We have envisioned that one day computers will understand natural language and actively predict what and when we need help in order to proactively complete tasks on our behalf. When computers become more ubiquitous (e.g. wearable devices) and number of applications increases, there has been a tremendous investment of virtual personal assistants from the industry (Microsoft’s Cortana, Google Home, Apple’s Siri, Amazon’s Echo, and Facebook’s Bot). In this talk, we will give an overview of personal assistants, describe the system architecture and the key components. Then we will highlight challenges and recent trends driven by deep learning and big data, and discuss the systems’ potential to fully redefine the human-computer interaction moving forward.