One effective way to improve the state of the art is through competitions. Following the
success of the Critical Assessment of protein Structure Prediction (CASP) in bioinformatics …

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 MeSH indexing is the task of assigning relevant MeSH terms based on a
manual reading of scholarly publications by human indexers. The task is highly important for …

Abstract Motivation: Medical Subject Headings (MeSHs) are used by National Library of
Medicine (NLM) to index almost all citations in MEDLINE, which greatly facilitates the …

We introduce a novel approach for estimating Latent Dirichlet Allocation (LDA) parameters
from collapsed Gibbs samples (CGS), by leveraging the full conditional distributions over the …

Background With the large and increasing volume of textual data, automated methods for
identifying significant topics to classify textual documents have received a growing interest …

BioASQ is a series of challenges that aims to assess the performance of information systems
in supporting two tasks that are central to the biomedical question answering process:(a) the …

This article describes the participation of Fudan team in the 2015 BioASQ challenge. The
challenge consists of two tasks, largescale biomedical semantic indexing (task 3a) and …

Abstract Hierarchy Of Multi-label classifiERs (HOMER) is a multi-label learning algorithm
that breaks the initial learning task to several, easier sub-tasks by first constructing a …

The goal of the BioASQ challenge is to push research towards highly precise biomedical
information access systems. We aim to promote systems and approaches that are able to …