Presentation | 2010-01-22 Self-Supervised Mining Human Activity from the Web THE Nguyen MINH, Takahiro KAWAMURA, Hiroyuki NAKAGAWA, Yasuyuki TAHARA, Akihiko OHSUGA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In our definition, human activity can be expressed by five basic attributes : actor, action, object, time and location. The goal of this paper is describe a novel method to automatically extract all of the basic attributes and the transition between activities derived from sentences in Japanese web pages. However, previous work had some limitations, such as high setup costs, inability to extract all attributes, limitation on the types of sentences that can be handled, and insufficient consideration interdependency among attributes. To resolve these problems, this paper proposes a novel approach that uses conditional random fields and self-supervised learning. This approach treats activity extraction as a sequence labeling problem, and has advantages such as domain-independence, scalability, and does not require any human input. Since it is unnecessary to fix the number of elements in a tuple, this approach can extract all of the basic attributes and the transition between activities by making only a simgle pass. In an experiment, this approach achieves high precision (activity : 88.9%, attributes : over 90%, transition : over 87%). |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Human Activity / Semantic Network / Web Mining / Self-Supervised Learning / Real-world Agent |
Paper # | AI2009-22 |
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Committee | AI |
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Conference Date | 2010/1/15(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Self-Supervised Mining Human Activity from the Web |
Sub Title (in English) | |
Keyword(1) | Human Activity |
Keyword(2) | Semantic Network |
Keyword(3) | Web Mining |
Keyword(4) | Self-Supervised Learning |
Keyword(5) | Real-world Agent |
1st Author's Name | THE Nguyen MINH |
1st Author's Affiliation | () |
2nd Author's Name | Takahiro KAWAMURA |
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3rd Author's Name | Hiroyuki NAKAGAWA |
3rd Author's Affiliation | |
4th Author's Name | Yasuyuki TAHARA |
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5th Author's Name | Akihiko OHSUGA |
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Date | 2010-01-22 |
Paper # | AI2009-22 |
Volume (vol) | vol.109 |
Number (no) | 386 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |