文章基本信息

标题：Pointwise Prediction for Robust, Adaptable Japanese Morphological Analysis
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作者：Graham Neubig ; Yosuke Nakata ; Shinsuke Mori 等
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 present a pointwise approach to Japanese morphological analysis (MA) that ignores structure information during learning and tag- ging. Despite the lack of structure, it is able to outperform the current state-of-the-art struc- tured approach for Japanese MA, and achieves accuracy similar to that of structured predic- tors using the same feature set. We also find that the method is both robust to out- of-domain data, and can be easily adapted through the use of a combination of partial an- notation and active learning.