论文标题
RGCL在Semeval-2020任务6：定义提取的神经方法
RGCL at SemEval-2020 Task 6: Neural Approaches to Definition Extraction
论文作者
论文摘要
本文介绍了RGCL团队提交到Semeval 2020任务6：Defteval，子任务1和2。系统对句子和令牌级别进行了分类。它利用了最新的神经网络体系结构，这些架构具有某些特定于任务的改编，包括自动扩展的训练集。总体而言，该方法可以达到可接受的评估得分，同时保持体系结构选择的灵活性。
This paper presents the RGCL team submission to SemEval 2020 Task 6: DeftEval, subtasks 1 and 2. The system classifies definitions at the sentence and token levels. It utilises state-of-the-art neural network architectures, which have some task-specific adaptations, including an automatically extended training set. Overall, the approach achieves acceptable evaluation scores, while maintaining flexibility in architecture selection.
