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Authors: Masnizah Mohd and Kiyoaki Shirai

Affiliation: Japan Advanced Institute of Science and Technology, Japan

Keyword(s): Uncertainty, Named Entities, User, Event Detection.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Studies, Metrics & Benchmarks ; Symbolic Systems

Abstract: Ambiguous information contributes to the uncertainty issue. Type of information such as using named entities has been proved to provide significant information to the user compared to the ‘bag-of-words’ in identifying an event. So what else could contribute to the uncertainty in an event detection? We propose to answer this question by analysing the distribution of named entities across topics, and explore the potential of named entities in a user experiment. We construct an event detection task with 20 users and use news dataset from Topic Detection and Tracking (TDT) corpus, under the Sports and Politics categories. We analyse the results from five uncertainty dimensions: too little information, too much information, complex information, ambiguous information and conflicting information. These dimensions are categorise as two factors; amount and type of information. There was no statistical significance difference in the amount of information given with the number of successful eve nt detected. However, with little information and high named entities has contributes in reducing uncertainty. In addition, the amount of information and information quality are mutually independent. Our results suggest that uncertainty vary substantially between the amount of information and type of information in event detection. (More)

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Paper citation in several formats:
Mohd, M. and Shirai, K. (2015). Exploring the Role of Named Entities for Uncertainty Recognition in Event Detection. In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - RDBPM; ISBN 978-989-758-158-8; ISSN 2184-3228, SciTePress, pages 335-341. DOI: 10.5220/0005609503350341

@conference{rdbpm15,
author={Masnizah Mohd. and Kiyoaki Shirai.},
title={Exploring the Role of Named Entities for Uncertainty Recognition in Event Detection},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - RDBPM},
year={2015},
pages={335-341},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005609503350341},
isbn={978-989-758-158-8},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - RDBPM
TI - Exploring the Role of Named Entities for Uncertainty Recognition in Event Detection
SN - 978-989-758-158-8
IS - 2184-3228
AU - Mohd, M.
AU - Shirai, K.
PY - 2015
SP - 335
EP - 341
DO - 10.5220/0005609503350341
PB - SciTePress