Results 31 to 40 of about 62,130 (288)
Bidirectional Gated Recurrent Unit Neural Network for Chinese Address Element Segmentation
ISPRS International Journal of Geo-Information, 2020 Chinese address element segmentation is a basic and key step in geocoding technology, and the segmentation results directly affect the accuracy and certainty of geocoding.
Pengpeng Li +6 more
doaj +1 more source
Chinese word segmentation at Peking University [PDF]
Proceedings of the second SIGHAN workshop on Chinese language processing -, 2003 Word segmentation is the first step in Chinese information processing, and the performance of the segmenter, therefore, has a direct and great influence on the processing steps that follow. Different segmenters will give different results when handling issues like word boundary.
Huiming Duan +3 more
openaire +1 more source
More than Text: Multi-modal Chinese Word Segmentation
Annual Meeting of the Association for Computational Linguistics, 2021 Chinese word segmentation (CWS) is undoubtedly an important basic task in natural language processing. Previous works only focus on the textual modality, but there are often audio and video utterances (such as news broadcast and face-to-face dialogues ...
Dong Zhang +5 more
semanticscholar +1 more source
Domain-Specific Chinese Word Segmentation Based on Bi-Directional Long-Short Term Memory Model
IEEE Access, 2019 Most of the current word segmentation methods are rule-based and traditional machine learning methods. Universal word segmentation tools do not work well in the field such as metallurgy. Domain-specific Chinese word segmentation is rarely studied.
Dangguo Shao +6 more
doaj +1 more source
Chinese Word Segmentation for Agriculture
Journal of Software, 2013 Based on the Hash mechanism, a new algorithm is presented, the algorithm can realize search、update、deletion and addition operations for dictionary. According to the characteristics of Chinese characters GB code, by preserving the GB code of first word in entry, this method effectively improves the utilization rate of the storage space.
Kui Fang +3 more
openaire +1 more source
Adversarial Multi-Criteria Learning for Chinese Word Segmentation [PDF]
Annual Meeting of the Association for Computational Linguistics, 2017 Different linguistic perspectives causes many diverse segmentation criteria for Chinese word segmentation (CWS). Most existing methods focus on improve the performance for each single criterion.
Xinchi Chen +3 more
semanticscholar +1 more source
Enhancing Chinese Word Segmentation via Pseudo Labels for Practicability
Findings, 2021 Pre-trained language models (e.g., BERT) sig-nificantly alleviate two traditional challenging problems for Chinese word segmentation (CWS): segmentation ambiguity and out-of-vocabulary (OOV) words.
Kaiyu Huang +5 more
semanticscholar +1 more source
Neural Word Segmentation Learning for Chinese [PDF]
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2016 Most previous approaches to Chinese word segmentation formalize this problem as a character-based sequence labeling task where only contextual information within fixed sized local windows and simple interactions between adjacent tags can be captured. In this paper, we propose a novel neural framework which thoroughly eliminates context windows and can ...
Deng Cai 0002, Hai Zhao 0001
openaire +2 more sources
Federated Chinese Word Segmentation with Global Character Associations
Findings, 2021 Chinese word segmentation (CWS) is a fundamental task for Chinese information processing, which always suffers from out-of-vocabulary word issues, especially when it is tested on data from different sources.
Yuanhe Tian +3 more
semanticscholar +1 more source
Segment, Mask, and Predict: Augmenting Chinese Word Segmentation with Self-Supervision
Conference on Empirical Methods in Natural Language Processing, 2021 Recent state-of-the-art (SOTA) effective neural network methods and fine-tuning methods based on pre-trained models (PTM) have been used in Chinese word segmentation (CWS), and they achieve great results.
M. Maimaiti +7 more
semanticscholar +1 more source