Results 81 to 90 of about 3,831,007 (189)

Kcr-FLAT: A Chinese-Named Entity Recognition Model with Enhanced Semantic Information. [PDF]

Sensors (Basel), 2023
Deng Z, Tao Y, Lan R, Yang R, Wang X.
europepmc   +1 more source

Persian Named Entity Recognition

, 2017
Named Entity Recognition (NER) is an important natural language processing (NLP) tool for information extraction and retrieval from unstructured texts such as newspapers, blogs and emails.
Hussain, Amir, Ahsan Adeel, Howard, Newton, Dashtipour, Kia, Mandar Gogate, Amir Hussain, Gogate, Mandar, Adeel, Ahsan, Abdulrahman Algarafi, Kia Dashtipour, Algarafi, Abdulrahman, Newton Howard   +11 more
core   +1 more source

Research on Chinese Nested Entity Recognition Based on IDCNNLR and GlobalPointer

Applied System Innovation
The task of named entity recognition (NER) is to identify entities in the text and predict their categories. In real-life scenarios, the context of the text is often complex, and there may exist nested entities within an entity.
Weijun Li, Jintong Liu, Yuxiao Gao, Xinyong Zhang, Jianlai Gu   +4 more
doaj   +1 more source

Chinese-Named Entity Recognition From Adverse Drug Event Records: Radical Embedding-Combined Dynamic Embedding-Based BERT in a Bidirectional Long Short-term Conditional Random Field (Bi-LSTM-CRF) Model. [PDF]

JMIR Med Inform, 2021
Wu H, Ji J, Tian H, Chen Y, Ge W, Zhang H, Yu F, Zou J, Nakamura M, Liao J.   +9 more
europepmc   +1 more source

Deep learning for named entity recognition in Turkish radiology reports [PDF]

PURPOSE: The primary objective of this research is to enhance the accuracy and efficiency of information extraction from radiology reports. In addressing this objective, the study aims to develop and evaluate a deep learning framework for named entity ...
Muhammet Batuhan Gökhan, Ali Bahadır Özdemir, Ural Koç, Abubakar Ahmad Abdullahi, Ceren Aydın, Murat Can Ganiz   +5 more
core   +1 more source

MP-NER: Morpho-Phonological Integration Embedding for Chinese Named Entity Recognition

IEEE Access
Named Entity Recognition (NER) aims to automatically extract specific entities from unstructured text. Compared with English NER, Chinese NER faces challenges due to heterophony, where the same Chinese character may have different pronunciations and ...
Pu Li, Guopeng Cheng, Guojun Deng, Shuanghong Qu, Min Huang, Guoxiang Li   +5 more
doaj   +1 more source

Word Segmentation for Named Entity Recognition in Asian Texts: A Case on Chinese Documents

, 2021
In the context of my internship at the end of my master curriculum, my objective was to improve the named entities recognition applied to historical texts written in Chinese.
Baptiste Blouin
core  

SemanticNews: Enriching publishing of news stories

, 2014
A central goal for the EPSRC funded Semantic Media Network project is to support interesting collaboration opportunities between researchers in order to foster relationships and encourage working together (EPSRC priority 'Working Together'). SemanticNews
Eggink, Jana, Newman, David, Greenwood, Mark, Peters, Wim, Hare, Jonathon   +4 more
core   +1 more source

Chinese named entity recognition based on hierarchical hybrid model

, 2010
Chinese named entity recognition based on hierarchical hybrid ...
Y Liu (4702669), Z Liao (13298031), Zili Zhang (13101534)   +2 more
core  

Multi-Agent Classifiers Fusion Strategy for Biomedical Named Entity Recognition

, 2008
Recognizing the biomedical named entity hasbecome one of the most fundamental tasks in thebiomedical knowledge discovery. The multi-agentclassifiers fusion approach proposed here was found toefficiently recognize biomedical named entity.
Zhao Tiejun, Wang Haochang, Liu Jianmiao
core