论文标题
Semeval-2020任务6：与Deft Copus的自由文本中的定义提取
SemEval-2020 Task 6: Definition extraction from free text with the DEFT corpus
论文作者
论文摘要
关于提取的定义提取的研究已经进行了十多年，在很大程度上对所考虑的定义类型有重大限制。在这项工作中，我们提出了Defteval，这是一项半女之主共享的任务，参与者必须使用术语定义对语料库从自由文本中提取定义，以反映自然语言中定义的复杂现实。自由文本中的定义和光泽通常在没有明确指标的情况下，跨句子边界或以其他复杂的语言方式出现。 Defteval涉及3个不同的子任务：1）句子分类，2）序列标签和3）关系提取。
Research on definition extraction has been conducted for well over a decade, largely with significant constraints on the type of definitions considered. In this work, we present DeftEval, a SemEval shared task in which participants must extract definitions from free text using a term-definition pair corpus that reflects the complex reality of definitions in natural language. Definitions and glosses in free text often appear without explicit indicators, across sentences boundaries, or in an otherwise complex linguistic manner. DeftEval involved 3 distinct subtasks: 1)Sentence classification, 2) sequence labeling, and 3) relation extraction.
