https://scholars.lib.ntu.edu.tw/handle/123456789/413099
標題: | Chinese tense labelling and causal analysis | 作者: | Huang H.-H. Yang C.-R. Chen H.-H. |
公開日期: | 2016 | 起(迄)頁: | 2227-2237 | 來源出版物: | 26th International Conference on Computational Linguistics | 摘要: | This paper explores the role of tense information in Chinese causal analysis. Both tasks of causal type classification and causal directionality identification are experimented to show the significant improvement gained from tense features. To automatically extract the tense features, a Chinese tense predictor is proposed. Based on large amount of parallel data, our semi-supervised approach improves the dependency-based convolutional neural network (DCNN) models for Chinese tense labelling and thus the causal analysis. ? 1963-2018 ACL. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/413099 | ISBN: | 9784879747020 |
顯示於: | 資訊工程學系 |
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