抄録
In this paper, we propose a Relation Expansion framework, which uses a few seed sentences marked up with two entities to expand a set of sentences containing target relations. During the expansion process, label propagation algorithm is used to select the most confident entity pairs and context patterns. The label propagation algorithm is a graph based semi-supervised learning method which models the entire data set as a weighted graph and the label score is propagated on this graph. We test the proposed framework with four relationships, the results show that the label propagation is quite competitive comparing with existing methods.
本文言語 | English |
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ホスト出版物のタイトル | Proceedings - 2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010 |
ページ | 184-187 |
ページ数 | 4 |
巻 | 1 |
DOI | |
出版ステータス | Published - 2010 |
外部発表 | はい |
イベント | 2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010 - Toronto, ON 継続期間: 2010 8月 31 → 2010 9月 3 |
Other
Other | 2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010 |
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City | Toronto, ON |
Period | 10/8/31 → 10/9/3 |
ASJC Scopus subject areas
- 人工知能
- コンピュータ ネットワークおよび通信
- ソフトウェア