Fast and scalable neural embedding models for biomedical sentence classification

A Agibetov, K Blagec, H Xu, M Samwald - BMC bioinformatics, 2018 - Springer
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 …

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 …

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 …

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 …

Section-wise indexing and retrieval of research articles

A Shahid, MT Afzal - Cluster Computing, 2018 - Springer
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 …

A comparison and user-based evaluation of models of textual information structure in the context of cancer risk assessment

Y Guo, A Korhonen, M Liakata, I Silins, J Hogberg… - BMC …, 2011 - Springer
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 …

LiverCancerMarkerRIF: a liver cancer biomarker interactive curation system combining text mining and expert annotations

HJ Dai, JCY Wu, WS Lin, AJF Reyes… - Database, 2014 - academic.oup.com
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 …

[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) …

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 …

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 …