Information retrieval and text mining technologies for chemistry
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 …
reports, or the web is a pressing need shared by researchers and patent attorneys from …
Recent advances in biomedical literature mining
The recent years have witnessed a rapid increase in the number of scientific articles in
biomedical domain. These literature are mostly available and readily accessible in …
biomedical domain. These literature are mostly available and readily accessible in …
[HTML][HTML] NCBI disease corpus: a resource for disease name recognition and concept normalization
Abstract Information encoded in natural language in biomedical literature publications is
only useful if efficient and reliable ways of accessing and analyzing that information are …
only useful if efficient and reliable ways of accessing and analyzing that information are …
TaggerOne: joint named entity recognition and normalization with semi-Markov Models
Motivation: Text mining is increasingly used to manage the accelerating pace of the
biomedical literature. Many text mining applications depend on accurate named entity …
biomedical literature. Many text mining applications depend on accurate named entity …
Using rule-based natural language processing to improve disease normalization in biomedical text
Background and objective In order for computers to extract useful information from
unstructured text, a concept normalization system is needed to link relevant concepts in a …
unstructured text, a concept normalization system is needed to link relevant concepts in a …
[PDF][PDF] FBK-irst: A multi-phase kernel based approach for drug-drug interaction detection and classification that exploits linguistic information
MFM Chowdhury, A Lavelli - … * SEM), Volume 2: Proceedings of the …, 2013 - aclanthology.org
This paper presents the multi-phase relation extraction (RE) approach which was used for
the DDI Extraction task of SemEval 2013. As a preliminary step, the proposed approach …
the DDI Extraction task of SemEval 2013. As a preliminary step, the proposed approach …
Biomedical named entity recognition: a survey of machine-learning tools
It is well known that the rapid growth and dissemination of the Internet has resulted in huge
amounts of information generated and shared, available in the form of textual data, images …
amounts of information generated and shared, available in the form of textual data, images …
Recurrent neural network models for disease name recognition using domain invariant features
Hand-crafted features based on linguistic and domain-knowledge play crucial role in
determining the performance of disease name recognition systems. Such methods are …
determining the performance of disease name recognition systems. Such methods are …
Improving reference prioritisation with PICO recognition
Background Machine learning can assist with multiple tasks during systematic reviews to
facilitate the rapid retrieval of relevant references during screening and to identify and …
facilitate the rapid retrieval of relevant references during screening and to identify and …
[HTML][HTML] Text mining for pharmacovigilance: Using machine learning for drug name recognition and drug–drug interaction extraction and classification
AB Abacha, MFM Chowdhury, A Karanasiou… - Journal of biomedical …, 2015 - Elsevier
Pharmacovigilance (PV) is defined by the World Health Organization as the science and
activities related to the detection, assessment, understanding and prevention of adverse …
activities related to the detection, assessment, understanding and prevention of adverse …