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 …

An extensive review of tools for manual annotation of documents

M Neves, J Ševa - Briefings in bioinformatics, 2021 - academic.oup.com
Motivation Annotation tools are applied to build training and test corpora, which are
essential for the development and evaluation of new natural language processing …

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 …

The BioGRID interaction database: 2017 update

A Chatr-Aryamontri, R Oughtred, L Boucher… - Nucleic acids …, 2017 - academic.oup.com
Abstract The Biological General Repository for Interaction Datasets (BioGRID:
https://thebiogrid. org) is an open access database dedicated to the annotation and archival …

[HTML][HTML] BioCreative V CDR task corpus: a resource for chemical disease relation extraction

J Li, Y Sun, RJ Johnson, D Sciaky, CH Wei… - Database, 2016 - academic.oup.com
Community-run, formal evaluations and manually annotated text corpora are critically
important for advancing biomedical text-mining research. Recently in BioCreative V, a new …

TRRUST: a reference database of human transcriptional regulatory interactions

H Han, H Shim, D Shin, JE Shim, Y Ko, J Shin, H Kim… - Scientific reports, 2015 - nature.com
The reconstruction of transcriptional regulatory networks (TRNs) is a long-standing
challenge in human genetics. Numerous computational methods have been developed to …

The CHEMDNER corpus of chemicals and drugs and its annotation principles

M Krallinger, O Rabal, F Leitner, M Vazquez… - Journal of …, 2015 - Springer
The automatic extraction of chemical information from text requires the recognition of
chemical entity mentions as one of its key steps. When developing supervised named entity …

Bigbio: A framework for data-centric biomedical natural language processing

J Fries, L Weber, N Seelam, G Altay… - Advances in …, 2022 - proceedings.neurips.cc
Training and evaluating language models increasingly requires the construction of meta-
datasets--diverse collections of curated data with clear provenance. Natural language …

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 …

CancerMine: a literature-mined resource for drivers, oncogenes and tumor suppressors in cancer

J Lever, EY Zhao, J Grewal, MR Jones, SJM Jones - Nature methods, 2019 - nature.com
Tumors from individuals with cancer are frequently genetically profiled for information about
the driving forces behind the disease. We present the CancerMine resource, a text-mined …