Improving named entity recognition for biomedical and patent data using bi-LSTM deep neural network models
The daily exponential increase of biomedical information in scientific literature and patents is
a main obstacle to foster advances in biomedical research. A fundamental step hereby is to …
a main obstacle to foster advances in biomedical research. A fundamental step hereby is to …
Named entity recognition and its application to ceramic coating literature
Q Chen, Q Qian - MRS Communications, 2022 - Springer
Literature is an important source of materials data. However, unstructured literature data
processing faces multiple challenges. Named entity recognition (NER), as a subtask of …
processing faces multiple challenges. Named entity recognition (NER), as a subtask of …
An imConvNet-based deep learning model for Chinese medical named entity recognition
Y Zheng, Z Han, Y Cai, X Duan, J Sun, W Yang… - BMC Medical Informatics …, 2022 - Springer
Background With the development of current medical technology, information management
becomes perfect in the medical field. Medical big data analysis is based on a large amount …
becomes perfect in the medical field. Medical big data analysis is based on a large amount …
Getting to Know Named Entity Recognition: Better Information Retrieval
B Zhang - Medical Reference Services Quarterly, 2024 - Taylor & Francis
Named entity recognition (NER) is a powerful computer system that utilizes various
computing strategies to extract information from raw text input, since the early 1990s. With …
computing strategies to extract information from raw text input, since the early 1990s. With …
Easyner: A customizable easy-to-use pipeline for deep learning-and dictionary-based named entity recognition from medical text
Background Medical research generates millions of publications and it is a great challenge
for researchers to utilize this information in full since its scale and complexity greatly …
for researchers to utilize this information in full since its scale and complexity greatly …
[PDF][PDF] Extended distributed prototypical for biomedical named entity recognition
MT Abd, M Mohd - vol, 2017 - core.ac.uk
ABSTRACT Biomedical Named Entity Recognition (Bio-NER) is an essential step of
biomedical information extraction and biomedical text mining. Although, a lot of researches …
biomedical information extraction and biomedical text mining. Although, a lot of researches …
[PDF][PDF] Bibliometric analysis of named entity recognition for chemoinformatics and biomedical information extraction of ovarian cancer
V Khedkar, C Fernandes, D Desai, R Mansi… - … Practice, University of …, 2021 - academia.edu
With the massive amount of data that has been generated in the form of unstructured text
documents, Biomedical Named Entity Recognition (BioNER) is becoming increasingly …
documents, Biomedical Named Entity Recognition (BioNER) is becoming increasingly …
Named Entity Recognition for Arabic Medical Texts Using Deep Learning Models
Named Entity Recognition (NER) plays a vital role in extracting meaningful information from
textual data in the medical domain. This paper focuses on NER for Arabic medical texts …
textual data in the medical domain. This paper focuses on NER for Arabic medical texts …
Bi-directional long short term memory using recurrent neural network for biological entity recognition
R Siddalingappa, K Sekar - IAES International Journal of Artificial …, 2022 - eprints.iisc.ac.in
Biomedical named entity recognition (NER) aims at identifying medical entities from
unstructured data. A quintessential task in the supervision of biological databases is …
unstructured data. A quintessential task in the supervision of biological databases is …