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Comparisons of Features for Chinese Word Segmentation
2018Machine learning based approach is the most important one among Chinese word segmentation, and feature selection is very crucial to it. This paper overviews feature sets used in a few machine learning based approaches for Chinese word segmentation closed task.
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Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2022
Lichi Yuan
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Lichi Yuan
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Neural domain adaptation for Chinese word segmentation
2017 International Conference on Asian Language Processing (IALP), 2017The state-of-the-art Chinese word segmentation systems obtain high accuracy in domains like newswire but suffer a significant performance degradation when they are used in other domains such as patents and literature. In this paper, we propose a neural domain adaptation approach which works through cross-domain embeddings and uses unlabeled target ...
Zuyi Bao +3 more
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Active Learning for Chinese Word Segmentation on Judgements
2018This paper aims to perform the task of Chinese Word Segmentation on judgements. For this task, the main challenge is the lack of the annotated corpus. To alleviate this challenge, this paper proposes an active learning approach. Specifically, on the basis of a few initial annotated samples, a new active learning approach is proposed to annotate some ...
Qian Yan 0002 +4 more
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A Combining Approach for Chinese Word Segmentation
Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007Aiqing Wang, Sen Zhang
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Domain-Aware Word Segmentation for Chinese Language: A Document-Level Context-Aware Model
ACM Transactions on Asian and Low-Resource Language Information Processing, 2022Kaiyu Huang, Keli Xiao, Degen Huang
exaly
Chinese Word Segmentation via BiLSTM+Semi-CRF with Relay Node
Journal of Computational Science and Technology, 2020Nuo Qun +3 more
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