首页> 外文会议>International workshop on semantic evaluation;Annual conference of the North American Chapter of the Association for Computational Linguistics: human language technologies >The UWNLP system at SemEval-2018 Task 7: Neural Relation Extraction Model with Selectively Incorporated Concept Embeddings
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The UWNLP system at SemEval-2018 Task 7: Neural Relation Extraction Model with Selectively Incorporated Concept Embeddings

机译:SemEval-2018任务7:具有选择性结合概念嵌入的神经关系提取模型的UWNLP系统

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This paper describes our submission for the SemEval 2018 Task 7 shared task on semantic relation extraction and classification in scientific papers. We extend the end-to-end relation extraction model of (Miwa and Bansal. 2016) with enhancements such as a character-level encoding attention mechanism on selecting pretrained concept candidate embeddings. Our official submission ranked the second in relation classification task (Subtask 1.1 and Subtask 2 Senerio 2). and the first in the relation extraction task (Subtask 2 Scenario 1).
机译:本文介绍了我们提交的SemEval 2018 Task 7共享任务中科学论文中语义关系的提取和分类的内容。我们扩展了(Miwa和Bansal.2016)的端到端关系提取模型,并在选择预训练的概念候选嵌入时使用了字符级编码注意机制等增强功能。我们的官方意见书在关系分类任务中排名第二(子任务1.1和子任务2 Senerio 2)。关系提取任务中的第一个(子任务2方案1)。

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