---
title: "ConvLogMiner: A Real-Time Conversational Lifelog Miner"
authors:
  - "Pei-Wei Kao"
  - "An-Zi Yen"
  - "Hen-Hsen Huang"
  - "Hsin-Hsi Chen"
doi: "10.24963/ijcai.2021/710"
url: "https://ijcai.org/proceedings/2021/710"
pdf: "https://ijcai.org/proceedings/2021/0710.pdf"
venue: "Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence"
year: 2021
pages: "4992-4995"
track: "Demo Track"
keywords:
  - "Natural Language Processing: General"
---

# ConvLogMiner: A Real-Time Conversational Lifelog Miner

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

*Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence*, pages 4992-4995. DOI: [10.24963/ijcai.2021/710](https://doi.org/10.24963/ijcai.2021/710)

## 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.