Date & Time: 

2022 / 10 / 28 (Fri) 14:20 - 16:20

Location: 

Delta Building R216, NTHU

Speaker: 

 顏安孜 教授

國立陽明交通大學 資訊工程學系

Topic: 

Lifelog Mining and Applications

Abstract: 

When recalling life experiences, people often forget or confuse life events, which necessitates information recall services. Recently, people are used to recording their life experiences via writing social media posts, taking photos, or filming videos. In my work, I aim to extract personal life events from social media posts, daily dialogues, and videos. The extracted events are transformed into structured representations for storing in the personal knowledge base. To support the user query their life experiences over personal knowledge base, a proactive information recall system is constructed. We use a human-annotated life experience retelling dataset to detect the right time to trigger the information recall service. We propose a pilot model—structured event enhancement network (SEEN) that detects life event inconsistency, additional information in life events, and forgotten events. A fusing mechanism is also proposed to incorporate event graphs of stories and enhance the textual representations. To explain the need detection results, SEEN simultaneously provides support evidence by selecting the related nodes from the event graph. Experimental results show that SEEN achieves promising performance in detecting information needs. In addition, the extracted evidence can be served as complementary information to remind users what events they may want to recall.

Biography: 

Dr. An-Zi Yen is currently an Assistant Professor in the Department of Computer Science at National Yang Ming Chiao Tung University. Her research interests include natural language processing and information retrieval. Her work has been published in AAAI, SIGIR, WWW, CIKM, and COLING.