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End-to-End Neural Text Classification for Tibetan

来源 :第十六届全国计算语言学学术会议暨第五届基于自然标注大数据的自然语言处理国际学术研讨会 | 被引量 : 0次 | 上传用户：ZJWLMX
【摘 要】
：
As a minority language,Tibetan has received relatively little atten-tion in the field of natural language processing(NLP),especially in current var-ious neural network models.In this paper,we investig
【作 者】
：
Nuo Qun Xing Li Xipeng Qiu Xuanjing Huang 
【机 构】
：
School of Computer Science,Fudan University,825 Zhangheng Road,Shanghai,China;School of Information
【出 处】
：
第十六届全国计算语言学学术会议暨第五届基于自然标注大数据的自然语言处理国际学术研讨会
【发表日期】
：
2017年7期
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论文部分内容阅读
　　As a minority language,Tibetan has received relatively little atten-tion in the field of natural language processing(NLP),especially in current var-ious neural network models.In this paper,we investigate three end-to-end neu-ral models for Tibetan text classification.The experimental results show that the end-to-end models outperform the traditional Tibetan text classification meth-ods.The dataset and codes are availabel on https://github.com/FudanNLP/Tibetan-Classification.
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