Fast and scalable neural embedding models for biomedical sentence classification
Background Biomedical literature is expanding rapidly, and tools that help locate information
of interest are needed. To this end, a multitude of different approaches for classifying …
of interest are needed. To this end, a multitude of different approaches for classifying …
Recognition and Evaluation of Clinical Section Headings in Clinical Documents Using Token‐Based Formulation with Conditional Random Fields
HJ Dai, S Syed-Abdul, CW Chen… - BioMed research …, 2015 - Wiley Online Library
Electronic health record (EHR) is a digital data format that collects electronic health
information about an individual patient or population. To enhance the meaningful use of …
information about an individual patient or population. To enhance the meaningful use of …
A hybrid linear text segmentation algorithm using hierarchical agglomerative clustering and discrete particle swarm optimization
JW Wu, JCR Tseng, WN Tsai - Integrated Computer-Aided …, 2014 - content.iospress.com
Linear text segmentation plays an important role in many natural language processing tasks.
Many algorithms have been proposed and shown to improve the performance of linear text …
Many algorithms have been proposed and shown to improve the performance of linear text …
The detection of contradictory claims in biomedical abstracts
A Alamri - 2016 - etheses.whiterose.ac.uk
Research claims in the biomedical domain are not always consistent, and may even be
contradictory. This thesis explores contradictions between research claims in order to …
contradictory. This thesis explores contradictions between research claims in order to …
Section-wise indexing and retrieval of research articles
Relevant information extraction is a dire need of the scholarly community. There are a
number of systems available to find relevant information from scientific literature such as …
number of systems available to find relevant information from scientific literature such as …
A comparison and user-based evaluation of models of textual information structure in the context of cancer risk assessment
Background Many practical tasks in biomedicine require accessing specific types of
information in scientific literature; eg information about the results or conclusions of the study …
information in scientific literature; eg information about the results or conclusions of the study …
LiverCancerMarkerRIF: a liver cancer biomarker interactive curation system combining text mining and expert annotations
Biomarkers are biomolecules in the human body that can indicate disease states and
abnormal biological processes. Biomarkers are often used during clinical trials to identify …
abnormal biological processes. Biomarkers are often used during clinical trials to identify …
[PDF][PDF] Automatic detection of answers to research questions from medline abstracts
A Alamri, M Stevenson - Proceedings of BioNLP 15, 2015 - aclanthology.org
Given a set of abstracts retrieved from a search engine such as Pubmed, we aim to
automatically identify the claim zone in each abstract and then select the best sentence (s) …
automatically identify the claim zone in each abstract and then select the best sentence (s) …
A graph-mining algorithm for automatic detection and counting of embryonic stem cells in fluorescence microscopy images
GM Faustino, M Gattass… - Integrated …, 2011 - content.iospress.com
Many cell-based research studies require the counting of cells in order to understand and
validate experiments through statistical analyses. Although progress in imaging technology …
validate experiments through statistical analyses. Although progress in imaging technology …
Identify and extract entities from bibliography references in a free text
M Chenet - 2017 - essay.utwente.nl
Elsevier is the world's largest scientific publishing company. It owns a database named
Scopus that stores a multitude of scientific papers, books and manuscripts. Besides scientific …
Scopus that stores a multitude of scientific papers, books and manuscripts. Besides scientific …