LABDA at the 2016 BioASQ challenge task 4a: Semantic Indexing by using ElasticSearch

机译：LABDA参加2016 BioASQ挑战任务4a：使用ElasticSearch进行语义索引

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This paper describes the participation of LABDA team in the 2016 BioASQ Task 4a on large-scale online biomedical semantic indexing. Our approach is based on the use of the open source search engine ElasticSearch. Experimental results show that our approach achieves high recall while keeping processing time low. Although more work needs to be done to improve our results, we can conclude that ElasticSearch is a competitive and scalable system for indexing biomedical literature.

机译：本文介绍了LABDA团队参与2016 BioASQ Task 4a大规模在线生物医学语义索引的过程。我们的方法基于开源搜索引擎ElasticSearch的使用。实验结果表明，我们的方法在降低处理时间的同时实现了较高的召回率。尽管需要做更多的工作来改善我们的结果，但是我们可以得出结论，ElasticSearch是一个具有竞争力且可扩展的系统，可以对生物医学文献进行索引。

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《4th BioASQ workshop 2016: a challenge on large-scale biomedical semantic indexing and question answering》|2016年|16-22|共7页
会议地点 Berlin(DE)
作者
Isabel Segura-Bedmar; Adrian Carruana; Paloma Martinez;
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Computer Science Department, University Carlos Ⅲ of Madrid Avd. Universidad, 30, Leganes, 28911, Madrid, Spain;

Computer Science Department, University Carlos Ⅲ of Madrid Avd. Universidad, 30, Leganes, 28911, Madrid, Spain;

Computer Science Department, University Carlos Ⅲ of Madrid Avd. Universidad, 30, Leganes, 28911, Madrid, Spain;

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1. An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition [J] . George Tsatsaronis, Georgios Balikas, Prodromos Malakasiotis, BMC Bioinformatics . 2015,第1期

机译：BIOASQ大规模生物医学语义索引和问答竞赛概述
2. Biomedical semantic indexing by deep neural network with multi-task learning [J] . Yongping Du, Yunpeng Pan, Chencheng Wang, BMC Bioinformatics . 2018,第S20期

机译：深神经网络与多任务学习的生物医学语义索引
3. Bag-of-Ftamesと時空間特徴量を用いたSemantic Indexing Taskへの取り組み [J] . 下田　保志, 野口　顕嗣, 柳井　啓司電子情報通信学会技術研究報告 . 2011,第414期

机译：利用包袋和时空特征进行语义索引的方法
4. LABDA at the 2016 BioASQ challenge task 4a: Semantic Indexing by using ElasticSearch [C] . Isabel Segura-Bedmar, Adrian Carruana, Paloma Martinez Annual meeting of the Association for Computational Linguistics . 2016

机译：Labda在2016年Bioasq挑战任务4a：使用弹性科学的语义索引
5. Towards a new model of semantic processing: Task-specific effects of concreteness and semantic neighbourhood density in visual word recognition. [D] . Danguecan, Ashley N. 2016

机译：建立一种新的语义处理模型：视觉单词识别中具体性和语义邻域密度的特定任务效果。
6. An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition [O] . George Tsatsaronis, Georgios Balikas, Prodromos Malakasiotis, 2015

机译：BIOASQ大规模生物医学语义索引和问答竞赛概述
7. LABDA at the 2016 BioASQ challenge task 4a: Semantic Indexing by using ElasticSearch [O] . Isabel Segura-Bedmar, Adrián Carruana, Paloma Martínez 2016

机译：Labda在2016年Bioasq挑战任务4a：使用弹性科学的语义索引

LABDA at the 2016 BioASQ challenge task 4a: Semantic Indexing by using ElasticSearch

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