ConvLogMiner: A Real-Time Conversational Lifelog Miner
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Demo Track. Pages 4992-4995.
https://doi.org/10.24963/ijcai.2021/710
Keywords
- Natural Language Processing: General
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.
Pei-Wei Kao, An-Zi Yen, Hen-Hsen Huang, and Hsin-Hsi Chen. 2021. ConvLogMiner: A Real-Time Conversational Lifelog Miner. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21. IJCAI, 4992–4995. https://doi.org/10.24963/ijcai.2021/710
Kao, P., Yen, A., Huang, H., & Chen, H. (2021). ConvLogMiner: A Real-Time Conversational Lifelog Miner. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21 (pp. 4992–4995). IJCAI. https://doi.org/10.24963/ijcai.2021/710
@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 = {Prof. 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},
}
TY - CPAPER TI - ConvLogMiner: A Real-Time Conversational Lifelog Miner AU - Kao, Pei-Wei AU - Yen, An-Zi AU - Huang, Hen-Hsen AU - Chen, Hsin-Hsi T2 - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2021 SP - 4992 EP - 4995 DO - 10.24963/ijcai.2021/710 UR - https://doi.org/10.24963/ijcai.2021/710 ER -Copied
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