 简介 Brief Introduction  UniEX 核心思想是将信息抽取转化为 token-pair 任务，为了将实体识别、关系抽取、事件抽取等抽取任务统一起来。我们使用一张表来识别实体的位置，其他表用来识别实体的类型或者关系的类型。此外，我们将标签信息和要抽取的文本拼接在一起，通过transformer进行编码。然后得到label的表示和文本的表示。最后通过Triaffine注意力机制使得所有任务可以共享一套参数。  The core idea of UniEX is to transform information extraction into token-pair tasks, in order to unify extraction tasks such as entity recognition, relationship extraction, and event extraction. We use one table to identify the location of the entity and other tables to identify the type of entity or the type of relationship. In addition, we stitch together the label information and the text to be extracted, and encode it through a transformer. Then get the representation of the label and the representation of the text. Finally, through the Triaffine attention mechanism, all tasks can share a set of parameters.   