JSAI2018

Presentation information

Poster presentation

General Session » Interactive

[3Pin1] インタラクティブ(1)

Thu. Jun 7, 2018 9:00 AM - 10:40 AM Room P (4F Emerald Lobby)

9:00 AM - 10:40 AM

[3Pin1-06] Cappuccino: Bootstrapping from Structural Data

〇Ryo Hanafusa1, Masafumi Oyamada2 (1. Kwansei Gakuin University, 2. NEC Corporation)

Keywords:bootstrapping, relation extraction, structural data, frequent subgraph mining

We present Cappuccino, a bootstrapping method for structural data, which extracts target pairs of words by treating structures in data as patterns that connect pairs of words. The task we tackle in this paper is relation extraction from structural data such as presentation slides and HTML files. In order to exploiting the structures for bootstrapping, we convert structural data to graphs, and apply frequent subgraph mining to the graphs to calculate reliabilities of word pairs and patterns. Experimental results of a relation extraction task show that Cappuccino outperforms a previous method.