Overview of BioASQ 2022: The Tenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering

被引:6
|
作者
Nentidis, Anastasios [1 ,2 ]
Katsimpras, Georgios [1 ]
Vandorou, Eirini [1 ]
Krithara, Anastasia [1 ]
Miranda-Escalada, Antonio [3 ]
Gasco, Luis [3 ]
Krallinger, Martin [3 ]
Paliouras, Georgios [1 ]
机构
[1] Natl Ctr Sci Res Demokritos, Athens, Greece
[2] Aristotle Univ Thessaloniki, Thessaloniki, Greece
[3] Barcelona Supercomp Ctr, Barcelona, Spain
关键词
Biomedical knowledge; Semantic Indexing; Question Answering;
D O I
10.1007/978-3-031-13643-6_22
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents an overview of the tenth edition of the BioASQ challenge in the context of the Conference and Labs of the Evaluation Forum (CLEF) 2022. BioASQ is an ongoing series of challenges that promotes advances in the domain of large-scale biomedical semantic indexing and question answering. In this edition, the challenge was composed of the three established tasks a, b and Synergy, and a new task named DisTEMIST for automatic semantic annotation and grounding of diseases from clinical content in Spanish, a key concept for semantic indexing and search engines of literature and clinical records. This year, BioASQ received more than 170 distinct systems from 38 teams in total for the four different tasks of the challenge. As in previous years, the majority of the competing systems outperformed the strong baselines, indicating the continuous advancement of the state-of-the-art in this domain.
引用
收藏
页码:337 / 361
页数:25
相关论文
共 50 条
  • [31] Regularized Latent Semantic Indexing: A New Approach to Large-Scale Topic Modeling
    Wang, Quan
    Xu, Jun
    Li, Hang
    Craswell, Nick
    [J]. ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2013, 31 (01)
  • [32] Coherent Semantic-Visual Indexing for Large-Scale Image Retrieval in the Cloud
    Hong, Richang
    Li, Lei
    Cai, Junjie
    Tao, Dapeng
    Wang, Meng
    Tian, Qi
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 26 (09) : 4128 - 4138
  • [33] Evaluating Gesture Generation in a Large-scale Open Challenge: The GENEA Challenge 2022
    Kucherenko, Taras
    Wolfert, Pieter
    Yoon, Youngwoo
    Viegas, Carla
    Nikolov, Teodor
    Tsakov, Mihail
    Henter, Gustav Eje
    [J]. ACM TRANSACTIONS ON GRAPHICS, 2024, 43 (03):
  • [34] Latent Retrieval for Large-Scale Fact-Checking and Question Answering with NLI training
    Samarinas, Chris
    Hsu, Wynne
    Lee, Mong Li
    [J]. 2020 IEEE 32ND INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI), 2020, : 941 - 948
  • [35] BigText-QA: Question Answering over a Large-Scale Hybrid Knowledge Graph
    Xu, Jingjing
    Biryukov, Maria
    Theobald, Martin
    Venugopal, Vinu Ellampallil
    [J]. BIG DATA TECHNOLOGIES AND APPLICATIONS, EAI INTERNATIONAL CONFERENCE, BDTA 2023, 2024, 555 : 33 - 48
  • [36] RESCUENET-VQA: A LARGE-SCALE VISUAL QUESTION ANSWERING BENCHMARK FOR DAMAGE ASSESSMENT
    Sarkar, Argho
    Rahnemoonfar, Maryam
    [J]. IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 1150 - 1153
  • [37] ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper Pages
    Piryani, Bhawna
    Mozafari, Jamshid
    Jatowt, Adam
    [J]. PROCEEDINGS OF THE 47TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, SIGIR 2024, 2024, : 2038 - 2048
  • [38] Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base
    Guo, Daya
    Tang, Duyu
    Duan, Nan
    Zhou, Ming
    Yin, Jian
    [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), 2018, 31
  • [39] A Novel Serial Deep Multi-Task Learning Model for Large Scale Biomedical Semantic Indexing
    Du, Yongping
    Pan, Yunpeng
    Ji, Junzhong
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2017, : 533 - 537
  • [40] Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base
    Shen, Tao
    Geng, Xiubo
    Qin, Tao
    Guo, Daya
    Tang, Duyu
    Duan, Nan
    Long, Guodong
    Jiang, Daxin
    [J]. 2019 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING AND THE 9TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (EMNLP-IJCNLP 2019): PROCEEDINGS OF THE CONFERENCE, 2019, : 2442 - 2451