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Pei-Wei Kao

dblp:299/4595 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Information extraction and text analysis · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis
event extraction		 0.512021
ConvLogMiner: A Real-Time Conversational Lifelog Miner · IJCAI 2021
Natural language and speech › Information extraction and text analysis › dialogue analysis
conversational text analysis		 0.112021
ConvLogMiner: A Real-Time Conversational Lifelog Miner · IJCAI 2021

Methods — techniques the papers use, named apart from their topics

real-time event detection · 0.5conversational mining · 0.5
YearPublicationVenuePosition
2021 ConvLogMiner: A Real-Time Conversational Lifelog Miner
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, Hsin-Hsi Chen
 IJCAI1