ConvLogMiner: A Real-Time Conversational Lifelog Miner

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

IJCAI 2021 pp. 4992-4995

doi:10.24963/IJCAI.2021/710 /ijcai/2021/kao2021ijcai-convlogminer/

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.

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Cite

Text

Kao et al. "ConvLogMiner: A Real-Time Conversational Lifelog Miner." International Joint Conference on Artificial Intelligence, 2021. doi:10.24963/IJCAI.2021/710

Markdown

[Kao et al. "ConvLogMiner: A Real-Time Conversational Lifelog Miner." International Joint Conference on Artificial Intelligence, 2021.](https://mlanthology.org/ijcai/2021/kao2021ijcai-convlogminer/) doi:10.24963/IJCAI.2021/710

BibTeX

@inproceedings{kao2021ijcai-convlogminer,
  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 = {International Joint Conference on Artificial Intelligence},
  year      = {2021},
  pages     = {4992-4995},
  doi       = {10.24963/IJCAI.2021/710},
  url       = {https://mlanthology.org/ijcai/2021/kao2021ijcai-convlogminer/}
}