ConvLogMiner: A Real-Time Conversational Lifelog Miner

Pei Wei Kao, An Zi Yen, Hen Hsen Huang, Hsin Hsi Chen

研究成果: Conference contribution同行評審

5 引文 斯高帕斯(Scopus)

摘要

This paper presents a conversational lifelog mining system, ConvLogMiner, which detects personal life events from the human online conversation in real-time. Given a daily conversation of two speakers, ConvLogMiner identifies the new life events specific to each speaker that occur in the latest utterances. The lifelogs mined by our system are useful to provide complementary information to support lifestyle analysis and memory assistance service.

原文English
主出版物標題Proceedings of the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021
編輯Zhi-Hua Zhou
發行者International Joint Conferences on Artificial Intelligence
頁面4992-4995
頁數4
ISBN(電子)9780999241196
出版狀態Published - 2021
事件30th International Joint Conference on Artificial Intelligence, IJCAI 2021 - Virtual, Online, Canada
持續時間: 19 8月 202127 8月 2021

出版系列

名字IJCAI International Joint Conference on Artificial Intelligence
ISSN(列印)1045-0823

Conference

Conference30th International Joint Conference on Artificial Intelligence, IJCAI 2021
國家/地區Canada
城市Virtual, Online
期間19/08/2127/08/21

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