期刊名称：Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度：2012
卷号：2012
出版社：ACL Anthology
摘要：We present an approach for detecting salient
(important) dates in texts in order to automatically
build event timelines from a search
query (e.g. the name of an event or person,
etc.). This work was carried out on a corpus
of newswire texts in English provided by the
Agence France Presse (AFP). In order to extract
salient dates that warrant inclusion in an
event timeline, we first recognize and normalize
temporal expressions in texts and then use
a machine-learning approach to extract salient
dates that relate to a particular topic. We focused
only on extracting the dates and not the
events to which they are related.
