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：We investigate systems that identify opinion
expressions and assigns polarities to the extracted
expressions. In particular, we demonstrate
the benefit of integrating opinion extraction
and polarity classification into a joint
model using features reflecting the global polarity
structure. The model is trained using
large-margin structured prediction methods.
The system is evaluated on the MPQA opinion
corpus, where we compare it to the only previously
published end-to-end system for opinion
expression extraction and polarity classification.
The results show an improvement of between
10 and 15 absolute points in F-measure.
