论文标题
使用注意力集群文本
Clustering Text Using Attention
论文作者
论文摘要
在自然语言处理的领域中，聚类文本一直是一个重要的问题。尽管有基于在上下文或非上下文矢量空间表示之上使用常规聚类技术基于群集文本的技术，但它仍然是一个普遍的研究领域，可以改善这些技术的性能和实施。本文讨论了一种使用注意机制聚集文本的新技术。最近，注意机制在最近的各种NLP任务中都非常有效。本文扩展了聚类空间中注意机制的想法，并阐明了一个全新的研究领域
Clustering Text has been an important problem in the domain of Natural Language Processing. While there are techniques to cluster text based on using conventional clustering techniques on top of contextual or non-contextual vector space representations, it still remains a prevalent area of research possible to various improvements in performance and implementation of these techniques. This paper discusses a novel technique to cluster text using attention mechanisms. Attention Mechanisms have proven to be highly effective in various NLP tasks in recent times. This paper extends the idea of attention mechanism in clustering space and sheds some light on a whole new area of research
