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Research advanced in Chinese word segmentation methods and challenges
Applied and Computational EngineeringChinese word segmentation refers to the process of dividing a sequence of Chinese characters into individual words. It constitutes a fundamental component of Chinese natural language processing.
Guancheng Du
semanticscholar +1 more source
International Conference on Computational Linguistics, 2020 Chinese word segmentation (CWS) and part-of-speech (POS) tagging are two fundamental tasks for Chinese language processing. Previous studies have demonstrated that jointly performing them can be an effective one-step solution to both tasks and this joint
Yuanhe Tian, Yan Song, Fei Xia
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Attention Is All You Need for Chinese Word Segmentation [PDF]
Conference on Empirical Methods in Natural Language Processing, 2019 Taking greedy decoding algorithm as it should be, this work focuses on further strengthening the model itself for Chinese word segmentation (CWS), which results in an even more fast and more accurate CWS model.
Sufeng Duan, Hai Zhao
semanticscholar +1 more source
Chinese NER Using Dynamic Meta-Embeddings
IEEE Access, 2019 Named entity recognition (NER) is one of the basic techniques in natural language processing tasks. Chinese NER is complicated and difficult which remains a major challenge.
Naixin Zhang +4 more
doaj +1 more source
A Levenshtein distance-based method for word segmentation in corpus augmentation of geoscience texts
Annals of GIS, 2023 For geoscience text, rich domain corpora have become the basis of improving the model performance in word segmentation. However, the lack of domain-specific corpus with annotation labelled has become a major obstacle to professional information mining in
Jinqu Zhang +6 more
doaj +1 more source
A Joint Multiple Criteria Model in Transfer Learning for Cross-domain Chinese Word Segmentation
Conference on Empirical Methods in Natural Language Processing, 2020 Word-level information is important in natural language processing (NLP), especially for the Chinese language due to its high linguistic complexity. Chinese word segmentation (CWS) is an essential task for Chinese downstream NLP tasks.
Kaiyu Huang +3 more
semanticscholar +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore how cerebral hypoxia and Normal‐Appearing White Matter (NAWM) integrity affect MS lesion burden and clinical course. Methods Seventy‐nine MS patients, including 13 clinically isolated syndrome (CIS) patients and 66 relapsing–remitting multiple sclerosis (RRMS) patients, and 44 healthy controls (HCs) were recruited from ...
Xinli Wang +8 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective High‐resolution MRI enables detailed assessment of intracranial vessel wall pathology in moyamoya vasculopathy. We aimed to classify adult moyamoya vasculopathy etiologies using high‐resolution MRI and to examine subtype‐specific associations between high‐resolution MRI features and ischemic infarction.
Guangsong Han +8 more
wiley +1 more source
Chinese word segmentation in MSR-NLP [PDF]
Proceedings of the second SIGHAN workshop on Chinese language processing -, 2003 Word segmentation in MSR-NLP is an integral part of a sentence analyzer which includes basic segmentation, derivational morphology, named entity recognition, new word identification, word lattice pruning and parsing. The final segmentation is produced from the leaves of parse trees.
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Chinese Word Segmentation for Terrorism-Related Contents [PDF]
, 2008 In order to analyze security and terrorism related content in Chinese, it is important to perform word segmentation on Chinese documents. There are many previous studies on Chinese word segmentation. The two major approaches are statistic-based and dictionary-based approaches.
Daniel Zeng 0001 +3 more
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