Structured Interpretation of Temporal Relations
Structured Interpretation of Temporal Relations
复制标题
时间关系的结构化解释
DOI：
--
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Nianwen Xue
中科院分区：
文献类型：
--
作者：
Yuchen Zhang;Nianwen Xue
文档中事件和时间表达式之间的时间关系通常以非结构化的方式建模，其中孤立地考虑单独的时间表达式和事件对之间的关系。这通常会导致不一致和不完整的注释和计算建模。我们提出了一种新的标注方法，文档中的事件和时间表达式形成一棵依存关系树，每个依存关系对应于一个时态回指实例，其中先行语是父语，指代语是子语。我们使用这种方法在新闻和叙事两种体裁下对235个文档进行了标注，其中48个文档进行了双重标注。我们报告了在双重标注子集上稳定且高注释者之间的一致，验证了我们的方法，并在整个语料库的两种体裁之间进行了定量比较。我们公开这个语料库。
Temporal relations between events and time expressions in a document are often modeled in an unstructured manner where relations between individual pairs of time expressions and events are considered in isolation. This often results in inconsistent and incomplete annotation and computational modeling. We propose a novel annotation approach where events and time expressions in a document form a dependency tree in which each dependency relation corresponds to an instance of temporal anaphora where the antecedent is the parent and the anaphor is the child. We annotate a corpus of 235 documents using this approach in the two genres of news and narratives, with 48 documents doubly annotated. We report a stable and high inter-annotator agreement on the doubly annotated subset, validating our approach, and perform a quantitative comparison between the two genres of the entire corpus. We make this corpus publicly available.