Biomedical Entity Network

CNN-based ranking for biomedical entity normalization

https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-017-1805-7

Our CNN-based ranking biomedical entity normalization system using morphological information (denoted by “CNN-based ranking” in Table 3) is better than the system without using morphological information (denoted by “CNN-based ranking # ”), …

BERN2: an advanced neural biomedical named entity …

https://academic.oup.com/bioinformatics/article/38/20/4837/6687126

Biomedical named entity recognition using deep neural …

https://pubmed.ncbi.nlm.nih.gov/31881938/

Results: We propose herein an NER system for biomedical entities by incorporating n-grams with bi-directional long short-term memory (BiLSTM) and …

Joint Learning-based Causal Relation Extraction from …

https://www.sciencedirect.com/science/article/pii/S1532046423000394

Causal relation extraction of biomedical entities is one of the most complex tasks in biomedical text mining, which involves two kinds of information: entity relations …

Biomedical named entity recognition using deep neural …

https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-3321-4

In biomedical text mining, named entity recognition (NER) is an important task used to extract information from biomedical articles. Previously proposed …

CNN-based ranking for biomedical entity normalization

https://pubmed.ncbi.nlm.nih.gov/28984180/

CNN-based ranking for biomedical entity normalization Authors Haodi Li 1 , Qingcai Chen 2 , Buzhou Tang 3 4 , Xiaolong Wang 1 , Hua Xu 5 , Baohua Wang 6 , …

CNN-based ranking for biomedical entity normalization

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5629610/

Most state-of-the-art biomedical entity normalization systems, such as rule-based systems, merely rely on morphological information of entity mentions, but rarely consider their …

Who’s Who and What’s What: Advances in Biomedical …

https://towardsdatascience.com/whos-who-and-what-s-what-advances-in-biomedical-named-entity-recognition-bioner-c42a3f63334c

Many annotated datasets have been introduced into the biomedical domain with entity categories such as cell line, chemical, disease, gene, protein, and …

Cross-type biomedical named entity recognition with …

https://par.nsf.gov/biblio/10393459-cross-type-biomedical-named-entity-recognition-deep-multi-task-learning

We propose a novel end-to-end deep learning approach for biomedical NER tasks that leverages the local contexts based on n-gram character and word embeddings via …

On the Use of Knowledge Transfer Techniques for …

https://www.researchgate.net/publication/368622194_On_the_Use_of_Knowledge_Transfer_Techniques_for_Biomedical_Named_Entity_Recognition

Abstract and Figures. Biomedical named entity recognition (BioNER) is a preliminary task for many other tasks, e.g., relation extraction and semantic search. …