Challenges and advances in information extraction from scientific literature: a review
Scientific articles have long been the primary means of disseminating scientific discoveries.
Over the centuries, valuable data and potentially groundbreaking insights have been …
Over the centuries, valuable data and potentially groundbreaking insights have been …
Domain-specific contextualized embedding: a systematic literature review
I Yunianto, AE Permanasari… - 2020 12th International …, 2020 - ieeexplore.ieee.org
Word embedding has successfully resolved various Natural Language Processing (NLP)
problems. Unfortunately, the method has a weakness in detecting polysemy and homonym …
problems. Unfortunately, the method has a weakness in detecting polysemy and homonym …
CGINet: graph convolutional network-based model for identifying chemical-gene interaction in an integrated multi-relational graph
Background Elucidation of interactive relation between chemicals and genes is of key
relevance not only for discovering new drug leads in drug development but also for …
relevance not only for discovering new drug leads in drug development but also for …
Prompt Tuning in Biomedical Relation Extraction
Biomedical relation extraction (RE) is critical in constructing high-quality knowledge graphs
and databases as well as supporting many downstream text mining applications. This paper …
and databases as well as supporting many downstream text mining applications. This paper …
An intelligent framework of upgraded CapsNets with massive transmissibility data for identifying damage in bridges
Structural monitoring systems installed on bridges are capable of capturing large-scale
dynamic responses online and in real-time. The response data of the bridge under different …
dynamic responses online and in real-time. The response data of the bridge under different …
BioEGRE: a linguistic topology enhanced method for biomedical relation extraction based on BioELECTRA and graph pointer neural network
X Zheng, X Wang, X Luo, F Tong, D Zhao - BMC bioinformatics, 2023 - Springer
Background Automatic and accurate extraction of diverse biomedical relations from literature
is a crucial component of bio-medical text mining. Currently, stacking various classification …
is a crucial component of bio-medical text mining. Currently, stacking various classification …
Sequential routing framework: fully capsule network-based speech recognition
Capsule networks (CapsNets) have recently gotten attention as a novel neural architecture.
This paper presents the sequential routing framework which we believe is the first method to …
This paper presents the sequential routing framework which we believe is the first method to …
Chemical-protein interaction extraction via chemicalbert and attention guided graph convolutional networks in parallel
L Qin, G Dong, J Peng - 2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
Automated recognition of functional interactions between compounds and proteins/genes
from biomedical literature is essential for drug discovery, knowledge understanding, and …
from biomedical literature is essential for drug discovery, knowledge understanding, and …
Extracting chemical-protein interactions via calibrated deep neural network and self-training
The extraction of interactions between chemicals and proteins from several biomedical
articles is important in many fields of biomedical research such as drug development and …
articles is important in many fields of biomedical research such as drug development and …
[PDF][PDF] A semantic Similarity-Based approach to extract respiratory disease-symptom relations from biomedical literature
Purpose: The purpose of this research is to develop a disease-symptom relation extraction
method for the early diagnosis of respiratory diseases. Theory and Methods: We introduce a …
method for the early diagnosis of respiratory diseases. Theory and Methods: We introduce a …