论文标题
UNCC生物医学语义问题答录系统。 BioASQ：任务-7b，阶段B
UNCC Biomedical Semantic Question Answering Systems. BioASQ: Task-7B, Phase-B
论文作者
论文摘要
在本文中，我们详细介绍了提交到2019年第七年的Bioasq竞赛。我们介绍了任务-7B，B阶段，确切答案任务的方法。这些问题回答（QA）任务包括FACTOID，是/否，列表类型问题回答。我们的系统基于上下文单词嵌入模型。我们已经使用了基于变压器（BERT）系统的双向编码器表示，并使用Biobert罚款，以针对生物医学问题回答任务进行罚款。在第三个测试批次集中，我们的系统获得了FACTOID问题答案任务的最高MRR得分。另外，对于列表类型的问题回答任务，我们的系统在第四个测试批次集中获得了最高的召回分数。除了我们的详细方法外，我们还介绍了提交的结果，并突出显示了当前方法和在未来实验中改善它们的方法的弊端。
In this paper, we detail our submission to the 2019, 7th year, BioASQ competition. We present our approach for Task-7b, Phase B, Exact Answering Task. These Question Answering (QA) tasks include Factoid, Yes/No, List Type Question answering. Our system is based on a contextual word embedding model. We have used a Bidirectional Encoder Representations from Transformers(BERT) based system, fined tuned for biomedical question answering task using BioBERT. In the third test batch set, our system achieved the highest MRR score for Factoid Question Answering task. Also, for List type question answering task our system achieved the highest recall score in the fourth test batch set. Along with our detailed approach, we present the results for our submissions, and also highlight identified downsides for our current approach and ways to improve them in our future experiments.
