WebNamed entity recognition (NER) is a fundamental task in natural language processing. In Chinese NER, additional resources such as lexicons, syntactic features and knowledge graphs are usually introduced to improve the recognition performance of the model. However, Chinese characters evolved from pictographs, and their glyphs contain rich … http://www.iotword.com/3520.html
paddlenlp.transformers.chinesebert.tokenizer — PaddleNLP 文档
Web中文分词数据集包括MSRA和PKU,通过表8看出,ChineseBERT的base和large模型在两个数据集的F1和ACC指标上均有显著地提升。 消融实验 在OntoNotes 4.0数据集上进行消 … WebIn this work, we propose ChineseBERT, a model that incorporates the glyph and pinyin information of Chinese characters into the process of large-scale pretraining. The glyph embedding is based on different fonts of a Chinese character, being able to capture character semantics from the visual surface character forms. The pinyin embedding models dhura wines ott
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WebFeb 10, 2024 · ChineseBert and PLOME are variants of BERT, both capable of modeling pinyin and glyph. PLOME is a PLM trained for CSC and jointly considering the target pronunciation and character distributions, whereas ChineseBert is a more universal PLM. For a fair comparison, base structure is chosen for each baseline model. 4.3 Results Web中文分词数据集包括MSRA和PKU,通过表8看出,ChineseBERT的base和large模型在两个数据集的F1和ACC指标上均有显著地提升。 消融实验 在OntoNotes 4.0数据集上进行消融实验,结果如表9所示,可以发现字形特征和拼音特征在ChineseBERT模型中起着至关重要的 … WebApr 10, 2024 · In 2024, Zijun Sun et al. proposed ChineseBERT, which incorporates both glyph and pinyin information about Chinese characters into the language model pre-training. This model significantly improves performance with fewer training steps compared to … cincinnati to wright patterson afb