论文标题
Semeval-2020的Brums任务3：上下文化的嵌入，用于预测上下文在单词相似性中的（分级）效应
BRUMS at SemEval-2020 Task 3: Contextualised Embeddings for Predicting the (Graded) Effect of Context in Word Similarity
论文作者
论文摘要
本文介绍了团队对Semeval-2020任务3：上下文中的单词相似性的提交。该系统利用了最新的上下文化词嵌入，它们具有某些特定于任务的适应性，包括堆叠的嵌入和平均嵌入。总体而言，该方法在所有语言中都能达到良好的评估得分，同时保持简单性。遵循最终排名，我们的方法在每种语言的前5个解决方案中排名，同时保留芬兰子任务2的第一位置。
This paper presents the team BRUMS submission to SemEval-2020 Task 3: Graded Word Similarity in Context. The system utilises state-of-the-art contextualised word embeddings, which have some task-specific adaptations, including stacked embeddings and average embeddings. Overall, the approach achieves good evaluation scores across all the languages, while maintaining simplicity. Following the final rankings, our approach is ranked within the top 5 solutions of each language while preserving the 1st position of Finnish subtask 2.
