Biomedical question answering: a survey of approaches and challenges
Automatic Question Answering (QA) has been successfully applied in various domains such
as search engines and chatbots. Biomedical QA (BQA), as an emerging QA task, enables …
as search engines and chatbots. Biomedical QA (BQA), as an emerging QA task, enables …
General overview of ImageCLEF at the CLEF 2015 labs
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 …
that was organized as part of the CLEF labs 2015. ImageCLEF is an ongoing initiative that …
Survey on challenges of question answering in the semantic web
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 …
the Semantic Web: the mastery of a formal query language like SPARQL and knowledge of …
SemBioNLQA: A semantic biomedical question answering system for retrieving exact and ideal answers to natural language questions
M Sarrouti, SO El Alaoui - Artificial intelligence in medicine, 2020 - Elsevier
Background and objective Question answering (QA), the identification of short accurate
answers to users questions written in natural language expressions, is a longstanding issue …
answers to users questions written in natural language expressions, is a longstanding issue …
Text mining resources for the life sciences
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 …
of biomedical literature. However, to harness this power the researcher must be well versed …
The road from manual to automatic semantic indexing of biomedical literature: a 10 years journey
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 …
knowledge published daily. With millions of citations added to databases like …
Question answering system over semantic web
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 …
Question Answering system is the most promising way of retrieving data from the available …
A machine learning-based method for question type classification in biomedical question answering
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 …
components of an automatic biomedical question answering system. The performance of the …
List-wise learning to rank biomedical question-answer pairs with deep ranking recursive autoencoders
Biomedical question answering (QA) represents a growing concern among industry and
academia due to the crucial impact of biomedical information. When mapping and ranking …
academia due to the crucial impact of biomedical information. When mapping and ranking …
Distributed optimization of multi-class SVMs
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 …
forward way. Given enough computational resources, one-vs.-rest SVMs can thus be trained …