IJCAI 2021poster7 citations
ConvLogMiner: A Real-Time Conversational Lifelog Miner
Pei-Wei Kao, An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen
Abstract
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.
Natural Language Processing: General
BibTeX
@inproceedings{ijcai2021p710,
title = {ConvLogMiner: A Real-Time Conversational Lifelog Miner},
author = {Kao, Pei-Wei and Yen, An-Zi and Huang, Hen-Hsen and Chen, Hsin-Hsi},
booktitle = {Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence, {IJCAI-21}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Zhi-Hua Zhou},
pages = {4992--4995},
year = {2021},
month = {8},
note = {Demo Track},
doi = {10.24963/ijcai.2021/710},
url = {https://doi.org/10.24963/ijcai.2021/710},
}