鸽子
发表于 2025-3-30 12:09:52
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较早
发表于 2025-3-30 14:24:36
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高尔夫
发表于 2025-3-30 20:36:59
FGN: Fusion Glyph Network for Chinese Named Entity Recognitiontwork for Chinese NER. Except for encoding glyph information with a novel CNN, this method may extract interactive information between character distributed representation and glyph representation by a fusion mechanism. The major innovations of FGN include: (1) a novel CNN structure called CGS-CNN i
彩色
发表于 2025-3-30 21:31:13
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墙壁
发表于 2025-3-31 04:13:51
Named Entity Recognition Using a Semi-supervised Model Based on BERT and Bootstrappingledge graph and so on. Supervised NER method requires expensive datasets. In order to reduce expensive labor costs, we propose a semi-supervised model based on BERT and Bootstrapping to recognize more entities with a small amount of labeled data and less human labor. The method works in the followin
统治人类
发表于 2025-3-31 08:39:49
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