Chinese ner project
WebChinese named entity recognition is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories … WebApr 6, 2024 · SINGAPORE, April 6 (Reuters) - Chinese state-owned telecom firms are developing a $500 million undersea fiber-optic internet cable network that would link Asia, the Middle East and Europe to rival ...
Chinese ner project
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WebApr 7, 2024 · However, since the lattice structure is complex and dynamic, the lattice-based models are hard to fully utilize the parallel computation of GPUs and usually have a low inference speed. In this paper, we propose … WebApr 11, 2024 · Fang et al. exploited BERT-based character vectors and embedded them into a deep learning model for performing Chinese NER. 3.1.2. Multimodal Named Entity Recognition. Most unstructured texts often do not provide a sufficient textual context to resolve polysemous entities and may contain a massive number of unknown tokens.
WebMay 7, 2024 · Firstly, to tackle the problem of NER in specialty domain, we propose a simple but effective Light Transfer NER model (LTN) that consists of the general part (LTN-G) and transfer part (LTN-T), as illustrated in Fig. 1. LTN-G is based on the combination of BiLSTM and CRF networks, which is pre-trained by a general NER dataset. Web2 days ago · To achieve this, we construct a large-scale human-annotated Chinese multimodal NER dataset, named CNERTA. Our corpus totally contains 42,987 annotated …
WebMay 12, 2024 · Recently, Flat-LAttice Transformer (FLAT) has achieved great success in Chinese Named Entity Recognition (NER). FLAT performs lexical enhancement by … WebAug 16, 2024 · Recently, many works have tried to augment the performance of Chinese named entity recognition (NER) using word lexicons. As a representative, Lattice-LSTM (Zhang and Yang, 2024) has achieved new benchmark results on several public Chinese NER datasets. However, Lattice-LSTM has a complex model architecture.
WebJul 30, 2024 · Transformers with Mutilayer soft lattice Chinese word construction can capture potential interactions between Chinese characters and words. Named entity recognition (NER) is a key and fundamental part of many medical and clinical tasks, including the establishment of a medical knowledge graph, decision-making support, and …
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