浅层解析识别荷兰语推文中的威胁

2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013) Pub Date : 2013-08-25 DOI:10.1145/2492517.2500271

Nelleke Oostdijk, H. V. Halteren

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引用次数: 13

摘要

在本文中，我们研究了荷兰语推文中的威胁识别。由于推文经常显示不规则的语法形式和偏离正字法，用标准方法分析是有问题的。因此，我们实现了一种新的浅层解析机制，它由手工制作的规则驱动。实验结果令人鼓舞，在随机抽取的荷兰推文样本中，f值约为40%。此外，误差分析还为进一步改进提供了明确的途径。

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Shallow parsing for recognizing threats in Dutch tweets

In this paper, we investigate the recognition of threats in Dutch tweets. As tweets often display irregular grammatical form and deviant orthography, analysis by standard means is problematic. Therefore, we have implemented a new shallow parsing mechanism which is driven by handcrafted rules. Experimental results are encouraging, with an F-measure of about 40% on a random sample of Dutch tweets. Moreover, the error analysis shows some clear avenues for further improvement.

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2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013)

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