期刊名称:Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度:2011
卷号:2011
出版社:ACL Anthology
摘要:Recently, hierarchical text classification has
become an active research topic. The essential
idea is that the descendant classes can share
the information of the ancestor classes in a
predefined taxonomy. In this paper, we claim
that each class has several latent concepts and
its subclasses share information with these different
concepts respectively. Then, we propose
a variant Passive-Aggressive (PA) algorithm
for hierarchical text classification with
latent concepts. Experimental results show
that the performance of our algorithm is competitive
with the recently proposed hierarchical
classification algorithms.