Clinical natural language processing in languages other than English: opportunities and challenges
Background Natural language processing applied to clinical text or aimed at a clinical
outcome has been thriving in recent years. This paper offers the first broad overview of …
outcome has been thriving in recent years. This paper offers the first broad overview of …
ScispaCy: fast and robust models for biomedical natural language processing
Despite recent advances in natural language processing, many statistical models for
processing text perform extremely poorly under domain shift. Processing biomedical and …
processing text perform extremely poorly under domain shift. Processing biomedical and …
Biomedical and clinical English model packages for the Stanza Python NLP library
Objective The study sought to develop and evaluate neural natural language processing
(NLP) packages for the syntactic analysis and named entity recognition of biomedical and …
(NLP) packages for the syntactic analysis and named entity recognition of biomedical and …
[PDF][PDF] Overview of BioNLP'09 shared task on event extraction
The paper presents the design and implementation of the BioNLP'09 Shared Task, and
reports the final results with analysis. The shared task consists of three sub-tasks, each of …
reports the final results with analysis. The shared task consists of three sub-tasks, each of …
Biological network extraction from scientific literature: state of the art and challenges
C Li, M Liakata… - Briefings in …, 2014 - academic.oup.com
Networks of molecular interactions explain complex biological processes, and all known
information on molecular events is contained in a number of public repositories including the …
information on molecular events is contained in a number of public repositories including the …
[HTML][HTML] Extracting drug–drug interactions from literature using a rich feature-based linear kernel approach
Identifying unknown drug interactions is of great benefit in the early detection of adverse
drug reactions. Despite existence of several resources for drug–drug interaction (DDI) …
drug reactions. Despite existence of several resources for drug–drug interaction (DDI) …
A comprehensive benchmark of kernel methods to extract protein–protein interactions from literature
The most important way of conveying new findings in biomedical research is scientific
publication. Extraction of protein–protein interactions (PPIs) reported in scientific …
publication. Extraction of protein–protein interactions (PPIs) reported in scientific …
[PDF][PDF] Extracting complex biological events with rich graph-based feature sets
We describe a system for extracting complex events among genes and proteins from
biomedical literature, developed in context of the BioNLP'09 Shared Task on Event …
biomedical literature, developed in context of the BioNLP'09 Shared Task on Event …
Chemical-induced disease relation extraction via convolutional neural network
This article describes our work on the BioCreative-V chemical–disease relation (CDR)
extraction task, which employed a maximum entropy (ME) model and a convolutional neural …
extraction task, which employed a maximum entropy (ME) model and a convolutional neural …
[PDF][PDF] Overview of genia event task in bionlp shared task 2011
JD Kim, Y Wang, T Takagi… - Proceedings of BioNLP …, 2011 - aclanthology.org
The Genia event task, a bio-molecular event extraction task, is arranged as one of the main
tasks of BioNLP Shared Task 2011. As its second time to be arranged for community-wide …
tasks of BioNLP Shared Task 2011. As its second time to be arranged for community-wide …