Ling Luo
Orcid: 0000-0002-5141-0259Affiliations:
- National Institutes of Health, Bethesda, MD, USA
- Dalian University of Technology, College of Computer Science and Technology, China (former)
According to our database1,
Ling Luo
authored at least 37 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
From Retrieval to Generation: A Simple and Unified Generative Model for End-to-End Task-Oriented Dialogue.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Bioinform., December, 2023
BioREx: Improving biomedical relation extraction by leveraging heterogeneous datasets.
J. Biomed. Informatics, October, 2023
Bioinform., October, 2023
AIONER: all-in-one scheme-based biomedical named entity recognition using deep learning.
Bioinform., May, 2023
CoRR, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
PhenoRerank: A re-ranking model for phenotypic concept recognition pre-trained on human phenotype ontology.
J. Biomed. Informatics, 2022
A sequence labeling framework for extracting drug-protein relations from biomedical literature.
Database J. Biol. Databases Curation, 2022
Assigning species information to corresponding genes by a sequence labeling framework.
Database J. Biol. Databases Curation, 2022
PhenoGene: Disease-gene prioritization using graph embedding on patient phenotypic profiles.
Proceedings of the AMIA 2022, 2022
Proceedings of the AMIA 2022, 2022
2021
LitSuggest: a web-based system for literature recommendation and curation using machine learning.
Nucleic Acids Res., 2021
PhenoTagger: a hybrid method for phenotype concept recognition using human phenotype ontology.
Bioinform., 2021
2020
BMC Medical Informatics Decis. Mak., 2020
A neural network-based joint learning approach for biomedical entity and relation extraction from biomedical literature.
J. Biomed. Informatics, 2020
Exploiting adversarial transfer learning for adverse drug reaction detection from texts.
J. Biomed. Informatics, 2020
Artificial Intelligence (AI) in Action: Addressing the COVID-19 Pandemic with Natural Language Processing (NLP).
CoRR, 2020
Exploiting sequence labeling framework to extract document-level relations from biomedical texts.
BMC Bioinform., 2020
2019
KeSACNN: a protein-protein interaction article classification approach based on deep neural network.
Int. J. Data Min. Bioinform., 2019
Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine.
Database J. Biol. Databases Curation, 2019
A Deep Learning Approach With Deep Contextualized Word Representations for Chemical-Protein Interaction Extraction From Biomedical Literature.
IEEE Access, 2019
Proceedings of the Twenty-Eighth Text REtrieval Conference, 2019
2018
A neural network approach to chemical and gene/protein entity recognition in patents.
J. Cheminformatics, 2018
An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition.
Bioinform., 2018
Document triage for identifying protein-protein interactions affected by mutations: a neural network ensemble approach.
Database J. Biol. Databases Curation, 2018
DUTIR at the CCKS-2018 Task1: A Neural Network Ensemble Approach for Chinese Clinical Named Entity Recognition.
Proceedings of the Evaluation Tasks at the China Conference on Knowledge Graph and Semantic Computing (CCKS 2018), 2018
Protein-Protein Interaction Article Classification: A Knowledge-enriched Self-Attention Convolutional Neural Network Approach.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
HMNPPID: A Database of Protein-protein Interactions Associated with Human Malignant Neoplasms.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
BMC Bioinform., 2017
2016
Drug drug interaction extraction from biomedical literature using syntax convolutional neural network.
Bioinform., 2016
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
Deep neural network based protein-protein interaction extraction from biomedical literature.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015