This paper presents an overview of the ImageCLEF 2015 evaluation campaign, an event that was organized as part of the CLEF labs 2015. ImageCLEF is an ongoing initiative that …
Abstract Semantic Question Answering (SQA) removes two major access requirements to the Semantic Web: the mastery of a formal query language like SPARQL and knowledge of …
Background and objective Question answering (QA), the identification of short accurate answers to users questions written in natural language expressions, is a longstanding issue …
Text mining is a powerful technology for quickly distilling key information from vast quantities of biomedical literature. However, to harness this power the researcher must be well versed …
A Krithara, JG Mork, A Nentidis… - Frontiers in Research …, 2023 - frontiersin.org
Biomedical experts are facing challenges in keeping up with the vast amount of biomedical knowledge published daily. With millions of citations added to databases like …
A Dhandapani, V Vadivel - IEEE Access, 2021 - ieeexplore.ieee.org
The Semantic Web contains a large amount of data in the form of knowledge bases. Question Answering system is the most promising way of retrieving data from the available …
M Sarrouti, SO El Alaoui - Methods of Information in Medicine, 2017 - thieme-connect.com
Background and Objective: Biomedical question type classification is one of the important components of an automatic biomedical question answering system. The performance of the …
Y Yan, BW Zhang, XF Li, Z Liu - PloS one, 2020 - journals.plos.org
Biomedical question answering (QA) represents a growing concern among industry and academia due to the crucial impact of biomedical information. When mapping and ranking …
Training of one-vs.-rest SVMs can be parallelized over the number of classes in a straight forward way. Given enough computational resources, one-vs.-rest SVMs can thus be trained …