Results 41 to 50 of about 1,332,615 (213)
TURNER: The Uncertainty-based Retrieval Framework for Chinese NER
CoRR, 2022 Chinese NER is a difficult undertaking due to the ambiguity of Chinese characters and the absence of word boundaries. Previous work on Chinese NER focus on lexicon-based methods to introduce boundary information and reduce out-of-vocabulary (OOV) cases during prediction.
Zhichao Geng +4 more
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A Residual BiLSTM Model for Named Entity Recognition
IEEE Access, 2020 As one of the most powerful neural networks, Long Short-Term Memory (LSTM) is widely used in natural language processing (NLP) tasks. Meanwhile, the BiLSTM-CRF model is one of the most popular models for named entity recognition (NER), and many state-of ...
Gang Yang, Hongzhe Xu
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Kcr-FLAT: A Chinese-Named Entity Recognition Model with Enhanced Semantic Information
Sensors, 2023 The performance of Chinese-named entity recognition (NER) has improved via word enhancement or new frameworks that incorporate various types of external data.
Zhenrong Deng +4 more
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A Large-Scale Chinese Multimodal NER Dataset with Speech Clues [PDF]
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021 In this paper, we aim to explore an uncharted territory, which is Chinese multimodal named entity recognition (NER) with both textual and acoustic contents. To achieve this, we construct a large-scale human-annotated Chinese multimodal NER dataset, named CNERTA.
Dianbo Sui +4 more
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Chinese medical entity recognition based on the dual-branch TENER model
BMC Medical Informatics and Decision Making, 2023 Background Named Entity Recognition (NER) is a long-standing fundamental problem in various research fields of Natural Language Processing (NLP) and has been practiced in many application scenarios.
Hui Peng +3 more
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Applied Sciences, 2022 Due to the fragile physicochemical properties of hazardous chemicals, the chances of leakage and explosion during production, transportation, and storage are quite high.
Hui Dai +5 more
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Advanced Intelligent Discovery, EarlyView.Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
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MIFM: Multi-Granularity Information Fusion Model for Chinese Named Entity Recognition
IEEE Access, 2019 Chinese Named Entity Recognition (Chinese NER) is an important task in Chinese natural language processing field. It is difficult to identify the boundary of entities because Chinese texts lack natural delimiters to separate words.
Naixin Zhang +3 more
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Chinese Medical Named Entity Recognition Based on Fusion of Global Features and Multi-Local Features
IEEE Access, 2023 Chinese medical Named Entity Recognition (NER) is a task of Natural Language Processing (NLP), which aims to extract key information from Chinese medical texts.
Huarong Sun +6 more
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Heliyon, 2023 Chinese medical named entity recognition (NER) is a fundamental task in Chinese medical natural language processing, aiming to recognize Chinese medical entities within unstructured medical texts.
Yinlong Xiao +3 more
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