End-to-end neural text classification for tibetan
As a minority language, Tibetan has received relatively little attention in the field of natural
language processing (NLP), especially in current various neural network models. In this
paper, we investigate three end-to-end neural models for Tibetan text classification. The
experimental results show that the end-to-end models outperform the traditional Tibetan text
classification methods. The dataset and codes are available on https://github.
com/FudanNLP/Tibetan-Classification.
language processing (NLP), especially in current various neural network models. In this
paper, we investigate three end-to-end neural models for Tibetan text classification. The
experimental results show that the end-to-end models outperform the traditional Tibetan text
classification methods. The dataset and codes are available on https://github.
com/FudanNLP/Tibetan-Classification.
[CITATION][C] End-to-endneuraltext classificationforTibetan
LX QunN - … Linguistics and Natural LanguageProcessing Based on …, 2017
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