BosonNLP: An Ensemble Approach for Word Segmentation and POS Tagging

被引：16

作者：

Min, Kerui ^{[1
]}

Ma, Chenggang ^{[1
]}

Zhao, Tianmei ^{[1
]}

Li, Haiyan ^{[1
]}

机构：

[1] BosonData Inc, Shanghai, Peoples R China

来源：

NATURAL LANGUAGE PROCESSING AND CHINESE COMPUTING, NLPCC 2015 | 2015年 / 9362卷

关键词：

D O I：

10.1007/978-3-319-25207-0_48

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Chineseword segmentation and POS tagging are arguably the most fundamental tasks in Chinese natural language processing. In this paper, we show an ensemble approach for segmentation and POS tagging, combining both discriminative and generative methods to get the advantage of both worlds. Our approach achieved the F1-score of 96.65% and 91.55% for segmentation and tagging respectively in the contest of NLPCC 2015 Shared Task 1, obtained the 1st place for both tasks.

引用

页码：520 / 526

页数：7

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