Results of the BioASQ tasks of the Question Answering Lab at CLEF 2015

G Balikas, A Kosmopoulos, A Krithara, G Paliouras… - CLEF 2015, 2015 - hal.science
… overview of the BioASQ challenge in CLEF 2015. The overview … BioASQ tasks of the Question
Answering Lab at CLEF 2015, … or all four parts of the task eg, SNUMedinfo* retrieved only …

[PDF][PDF] SNUMedinfo at CLEF QA track BioASQ 2015

S Choi - … Conference and Labs of the Evaluation Forum (CLEF) …, 2015 - ceur-ws.org
… This paper describes the participation of the SNUMedinfo at the CLEF 2015 BioASQ task 3b.
… task, please see the overview paper of CLEF Question Answering track BioASQ 2015’ [2]. …

[PDF][PDF] The fudan participation in the 2015 bioasq challenge: Large-scale biomedical semantic indexing and question answering

Y Zhang, S Peng, R You, Z Xie, B Wang… - CEUR Workshop …, 2015 - vuir.vu.edu.au
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 …

[PDF][PDF] A generic retrieval system for biomedical literatures: USTB at BioASQ2015 Question Answering Task.

Z Zhang, T Liu, BW Zhang, Y Li, CH Zhao… - CLEF (Working …, 2015 - ceur-ws.org
… In this paper we describe our participation in the 2015 BioASQ challenge task on question
answering (Phase A). Participants need to respond to the natural language questions in the …

A multi-strategy query processing approach for biomedical question answering: USTB_PRIR at BioASQ 2017 Task 5B

ZX Jin, BW Zhang, F Fang, LL Zhang, XC Yin - BioNLP 2017, 2017 - aclanthology.org
… To adapt the MRF framework to multi-fielded entity descriptions, we introduce (Zhiltsov et
al., 2015)’s approach from their FSDM model to replace a single document language model P(…

A generic document retrieval framework based on UMLS similarity for biomedical question answering system

M Sarrouti, SO El Alaoui - … Decision Technologies 2016: Proceedings of the …, 2016 - Springer
… Finally, the experiments on the BioASQ 2014/2015bioasq track of the question answering
lab at clef 2014. Results of the BioASQ Track of the Question Answering Lab at CLEF

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
… In this study, the BioASQ 2015, 2016 and 2017 datasets are used to evaluate the effectiveness
of the SemBioNLQA system. The following are some example of biomedical questions …

Biomedical semantic question and answering system

MJVS Rodrigues - 2017 - repositorio.ul.pt
… Enquanto que no caso do BioASQ, era abordado o desempenho de um sistema de … the
course of this work (october 2014 to january 2015) and it is described in this chapter after the first …

BioASQ: a challenge on large-scale biomedical semantic indexing and question answering

G Balikas, A Krithara, I Partalas, G Paliouras - … , Austria, March 29, 2015 …, 2015 - Springer
… In this paper, the main results of the first two BioASQ challenges are presented. … Results
of the bioasq track of the question answering lab at CLEF 2014. In: Working Notes for CLEF

Using centroids of word embeddings and word mover's distance for biomedical document retrieval in question answering

GI Brokos, P Malakasiotis… - arXiv preprint arXiv …, 2016 - arxiv.org
… the November 2015 PUBMED dump, which was also used in the fourth year of BIOASQ.Our …
Classification and retrieval of biomedical literatures: SNUMedinfo at CLEF QA track BioASQ