output
20182026
most citedIncorporating Dictionaries into Deep Neural Networks for the Chinese Clinical Named Entity Recognition

14 citations

5 papers

cs.CV2026

Look Clearly Before Answering: Mitigating Hallucinations in LVLMs via Saliency-Driven Perceptual Realignment

Pengxu Chen, Yao Zhu, Guangming Zhu +4

Large vision-language models (LVLMs) have demonstrated remarkable capabilities in multimodal understanding. However, they remain prone to hallucinations, generating responses that…

cs.CV2026

Knowledge-guided Disentanglement with Atomic Actions for Action Recognition

Tianci Wu, Siqi Cao, Guangming Zhu +6

Action recognition in complex scenes often involves multiple concurrent fine-grained actions, making it challenging to model internal action structures. Most existing methods rely…

cs.CL2019★ 14 cited

Fine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical Text

Kui Xue, Yangming Zhou, Zhiyuan Ma +3

Entity and relation extraction is the necessary step in structuring medical text. However, the feature extraction ability of the bidirectional long short term memory network in the…

cs.CL2018★ 8 cited

An attention-based Bi-GRU-CapsNet model for hypernymy detection between compound entities

Qi Wang, Chenming Xu, Yangming Zhou +3

Named entities are usually composable and extensible. Typical examples are names of symptoms and diseases in medical areas. To distinguish these entities from general entities, we…

cs.CL2018★ 14 cited

Incorporating Dictionaries into Deep Neural Networks for the Chinese Clinical Named Entity Recognition

Qi Wang, Yuhang Xia, Yangming Zhou +3

Clinical Named Entity Recognition (CNER) aims to identify and classify clinical terms such as diseases, symptoms, treatments, exams, and body parts in electronic health records, wh…