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Titlebook: Chinese Computational Linguistics; 19th China National Maosong Sun,Sujian Li,Gaoqi Rao Conference proceedings 2020 Springer Nature Switzer

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Improving Sentence Classification by Multilingual Data Augmentation and Consensus Learningledge for better representation and classification. We evaluate our model using English (i.e., source language) and Chinese (i.e., target language) data on several sentence classification tasks. Very positive classification performance can be achieved by our proposed model.
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Refining Data for Text Generationut, we implement a text generator which sequentially models the input data records and emits a summary. Experiments on the ROTOWIRE dataset verifies the effectiveness of our proposed method in both performance and efficiency.
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Towards Causal Explanation Detection with Pyramid Salient-Aware Networkrthermore, PSAN can modify the dominance of discourses via a top attention-based discourse-level salient network to enhance explanatory semantics of messages. The experiments on the commonly used dataset of CEA shows that the PSAN outperforms the state-of-the-art method by 1.8% F1 value on the . task.
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