Results 171 to 180 of about 1,332,615 (213)

Clinical and metabolic factors associated with response to postoperative radioactive iodine therapy in Chinese obese patients with papillary thyroid carcinoma. [PDF]

Front Endocrinol (Lausanne)
Zhou Y, Hou Y, Hu S, Zhu C, Zhang M, Gao Y, Zhang Y, Li J, Cao W, Gao Z, Tan J, Xia X.   +11 more
europepmc   +1 more source

ChunkUIE: Chunked instruction-based unified information extraction. [PDF]

PLoS One
Li W, Liu Y, Yang Y, Zhang T, Men W.
europepmc   +1 more source

LLM-Reflex-GeoKG: A reflexion-enhanced LLM framework for automated geographic knowledge graph construction. [PDF]

PLoS One
Wei Z, Chen G, Xu Y, Yang X, Cao M, Liao M.   +5 more
europepmc   +1 more source

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Polymorphic graph attention network for Chinese NER

Expert Systems With Applications, 2022
Yinong Chen, Ling Lu, Yuke Wang
exaly   +3 more sources

Chinese NER by Span-Level Self-Attention

2019 15th International Conference on Computational Intelligence and Security (CIS), 2019
In this paper, we investigate how to improve Chinese named entity recognition (NER) by applying self-attention mechanism on span-level semantic representations. Specifically, we propose a model which acquires character representations through pre-trained BERT, then extracts features of each possible character-span through LSTM, estimates the semantic ...
Ping Guo
exaly   +3 more sources

Chinese NER Using ALBERT and Multi-word Information

ACM Turing Award Celebration Conference - China ( ACM TURC 2021), 2021
Recently, many Chinese Named Entity Recognition (NER) problems which utilize the character-based approach have a good performance, the character-based approach becomes the dominant current of the approaches, but there are two issues in the existing models.
Hanchen Xu, Zhenxiang Chen, Shanshan Wang 0003, Xiaoqing Jiang   +3 more
openaire   +1 more source

ESN-NER

Proceedings of the International Conference on Artificial Intelligence, Information Processing and Cloud Computing, 2019
Chinese named entity recognition (NER) is more difficult than it in English because of the lack of nature delimiters. First, Chinese NER requires word segmentation, but word-based segmentation will generate errors due to the different granularity of the word segmentation tools.
Wenkai Wang, Liang Chang 0003, Chenzhong Bin, Wen Xuan, Wei Chen 0105, Long Li 0005   +5 more
openaire   +1 more source