BioASQ: A Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering

被引:24
|
作者
Balikas, Georgios [1 ,2 ]
Krithara, Anastasia [3 ]
Partalas, Ioannis [4 ]
Paliouras, George [3 ]
机构
[1] LIG, Grenoble, France
[2] Univ Grenoble Alpes, Coffreo, Clermont Ferrand, France
[3] NCSR Demokritos, Inst Informat & Telecommun, Athens, Greece
[4] VISEO, R&D Dept, Grenoble, France
关键词
D O I
10.1007/978-3-319-24471-6_3
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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 indexing of large volumes of unlabelled data, primarily scientific articles, with biomedical concepts, (b) the processing of biomedical questions and the generation of answers and supporting material. In this paper, the main results of the first two BioASQ challenges are presented.
引用
收藏
页码:26 / 39
页数:14
相关论文
共 50 条
  • [21] Semantic overlay network for large-scale spatial information indexing
    Zou, Zhiqiang
    Wang, Yue
    Cao, Kai
    Qu, Tianshan
    Wang, Zhongmin
    [J]. COMPUTERS & GEOSCIENCES, 2013, 57 : 208 - 217
  • [22] Analyzing large-scale proteomics projects with latent semantic indexing
    Klie, Sebastian
    Martens, Lennart
    Vizcaino, Juan Antonio
    Cote, Richard
    Jones, Phil
    Apweiler, Rolf
    Hinneburg, Alexander
    Hermjakob, Henning
    [J]. JOURNAL OF PROTEOME RESEARCH, 2008, 7 (01) : 182 - 191
  • [23] High Throughput Indexing for Large-scale Semantic Web Data
    Cheng, Long
    Kotoulas, Spyros
    Ward, Tomas E.
    Theodoropoulos, Georgios
    [J]. 30TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, VOLS I AND II, 2015, : 416 - 422
  • [24] A Fast Approximate Algorithm for Large-Scale Latent Semantic Indexing
    Zhang, Dell
    Zhu, Zheng
    [J]. 2008 THIRD INTERNATIONAL CONFERENCE ON DIGITAL INFORMATION MANAGEMENT, VOLS 1 AND 2, 2008, : 639 - 644
  • [25] Large-scale online semantic indexing of biomedical articles via an ensemble of multi-label classification models
    Yannis Papanikolaou
    Grigorios Tsoumakas
    Manos Laliotis
    Nikos Markantonatos
    Ioannis Vlahavas
    [J]. Journal of Biomedical Semantics, 8
  • [26] Large-scale online semantic indexing of biomedical articles via an ensemble of multi-label classification models
    Papanikolaou, Yannis
    Tsoumakas, Grigorios
    Laliotis, Manos
    Markantonatos, Nikos
    Vlahavas, Ioannis
    [J]. JOURNAL OF BIOMEDICAL SEMANTICS, 2017, 8
  • [27] Dynamic Updating of the Knowledge Base for a Large-Scale Question Answering System
    Liu, Xiao-Yang
    Zhang, Yimeng
    Liao, Yukang
    Jiang, Ling
    [J]. ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2020, 19 (03)
  • [28] Robust Discrete Spectral Hashing for Large-Scale Image Semantic Indexing
    Yang, Yang
    Shen, Fumin
    Shen, Heng Tao
    Li, Hanxi
    Li, Xuelong
    [J]. IEEE Transactions on Big Data, 2015, 1 (04): : 162 - 171
  • [29] DeepMeSH: deep semantic representation for improving large-scale MeSH indexing
    Peng, Shengwen
    You, Ronghui
    Wang, Hongning
    Zhai, Chengxiang
    Mamitsuka, Hiroshi
    Zhu, Shanfeng
    [J]. BIOINFORMATICS, 2016, 32 (12) : 70 - 79
  • [30] KaFSP: Knowledge-Aware Fuzzy Semantic Parsing for Conversational Question Answering over a Large-Scale Knowledge Base
    Li, Junzhuo
    Xiong, Deyi
    [J]. PROCEEDINGS OF THE 60TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2022), VOL 1: (LONG PAPERS), 2022, : 461 - 473