论文标题
关于神经UD解析器的通用POS标签的脆弱
On the Frailty of Universal POS Tags for Neural UD Parsers
论文作者
论文摘要
我们对UPOS准确性对解析性能的影响进行分析。结果表明，利用UPOS标签作为神经解析器的功能需要高度高的标签精度，并且使用金标签的性能可提高性能，这表明某种异常性。我们还研究了最大的影响解析精度的预测标签的哪些方面，强调了问题的一些潜在有意义的语言方面。
We present an analysis on the effect UPOS accuracy has on parsing performance. Results suggest that leveraging UPOS tags as features for neural parsers requires a prohibitively high tagging accuracy and that the use of gold tags offers a non-linear increase in performance, suggesting some sort of exceptionality. We also investigate what aspects of predicted UPOS tags impact parsing accuracy the most, highlighting some potentially meaningful linguistic facets of the problem.
