Effectiveness of Domain Adaptation in Japanese Predicate-Argument Structure Analysis

Effectiveness of Domain Adaptation in Japanese Predicate-Argument Structure Analysis
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发表时间:
2018
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通讯作者:
Mizuki Sango;Hitoshi Nishikawa;T. Tokunaga
Mizuki Sango;Hitoshi Nishikawa;T. Tokunaga
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其他
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作者:
Mizuki Sango;Hitoshi Nishikawa;T. Tokunaga

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本文提出将领域顺应引入日语谓词论元结构分析。我们对日语平衡语料库的调查发现,论元类型在不同文本媒体上的分布是不同的,特别是当论元是外指时,这种差异是显著的fiCan。过去的日本PAS分析研究忽略了这一趋势。我们首先以基于RNN的PAS分析器为基线,通过引入三种域自适应技术及其组合来扩展它。使用日语平衡语料库fi进行的评测实验表明,领域自适应对于提高日语PAS分析的性能是有效的。
This paper proposes introducing domain adaptation into Japanese predicate-argument structure (PAS) analysis. Our investigation of a Japanese balanced-corpus revealed that the distribution of argument types is different across text media, particularly the difference is significant when the argument is exophoric. The past Japanese PAS analysis research has disregarded this tendency. We start with an RNN-based PAS analyzer as a baseline, extending it by introducing three kinds of domain-adaptation techniques and their combinations. The evaluation experiments using a Japanese balanced-corpus (BCCWJ) con-firmed that the domain-adaptation is effective for improving the performance of the Japanese PAS analysis.