Named entity recognition and relation detection for biomedical information extraction

N Perera, M Dehmer, F Emmert-Streib - Frontiers in cell and …, 2020 - frontiersin.org
The number of scientific publications in the literature is steadily growing, containing our
knowledge in the biomedical, health, and clinical sciences. Since there is currently no …

Information retrieval and text mining technologies for chemistry

M Krallinger, O Rabal, A Lourenco, J Oyarzabal… - Chemical …, 2017 - ACS Publications
Efficient access to chemical information contained in scientific literature, patents, technical
reports, or the web is a pressing need shared by researchers and patent attorneys from …

PubTator central: automated concept annotation for biomedical full text articles

CH Wei, A Allot, R Leaman, Z Lu - Nucleic acids research, 2019 - academic.oup.com
Abstract PubTator Central (https://www. ncbi. nlm. nih. gov/research/pubtator/) is a web
service for viewing and retrieving bioconcept annotations in full text biomedical articles …

Building a PubMed knowledge graph

J Xu, S Kim, M Song, M Jeong, D Kim, J Kang… - Scientific data, 2020 - nature.com
PubMed® is an essential resource for the medical domain, but useful concepts are either
difficult to extract or are ambiguous, which has significantly hindered knowledge discovery …

PubTator: a web-based text mining tool for assisting biocuration

CH Wei, HY Kao, Z Lu - Nucleic acids research, 2013 - academic.oup.com
Manually curating knowledge from biomedical literature into structured databases is highly
expensive and time-consuming, making it difficult to keep pace with the rapid growth of the …

tmChem: a high performance approach for chemical named entity recognition and normalization

R Leaman, CH Wei, Z Lu - Journal of cheminformatics, 2015 - Springer
Chemical compounds and drugs are an important class of entities in biomedical research
with great potential in a wide range of applications, including clinical medicine. Locating …

Community challenges in biomedical text mining over 10 years: success, failure and the future

CC Huang, Z Lu - Briefings in bioinformatics, 2016 - academic.oup.com
One effective way to improve the state of the art is through competitions. Following the
success of the Critical Assessment of protein Structure Prediction (CASP) in bioinformatics …

GNormPlus: an integrative approach for tagging genes, gene families, and protein domains

CH Wei, HY Kao, Z Lu - BioMed research international, 2015 - Wiley Online Library
The automatic recognition of gene names and their associated database identifiers from
biomedical text has been widely studied in recent years, as these tasks play an important …

A neural named entity recognition and multi-type normalization tool for biomedical text mining

D Kim, J Lee, CH So, H Jeon, M Jeong, Y Choi… - IEEE …, 2019 - ieeexplore.ieee.org
The amount of biomedical literature is vast and growing quickly, and accurate text mining
techniques could help researchers to efficiently extract useful information from the literature …

LitVar: a semantic search engine for linking genomic variant data in PubMed and PMC

A Allot, Y Peng, CH Wei, K Lee, L Phan… - Nucleic acids …, 2018 - academic.oup.com
The identification and interpretation of genomic variants play a key role in the diagnosis of
genetic diseases and related research. These tasks increasingly rely on accessing relevant …