Discovering topic time from web news
作者：
Highlights：
•
• We present a systematic framework for discovering topic time from Web news.
• We propose a new approach to determine the referential time for implicit temporal expressions.
• We devise a relation model between news topics and topic time for topic time extraction.
• We build a prototype system and conduct comparative experiments on real datasets.
摘要
•We present a systematic framework for discovering topic time from Web news.•We propose a new approach to determine the referential time for implicit temporal expressions.•We devise a relation model between news topics and topic time for topic time extraction.•We build a prototype system and conduct comparative experiments on real datasets.
论文关键词：Temporal expression,Normalization,Topic time,Relation model,Web news
论文评审过程：Received 23 September 2014, Revised 3 April 2015, Accepted 10 April 2015, Available online 12 June 2015, Version of Record 27 October 2015.
论文官网地址：https://doi.org/10.1016/j.ipm.2015.04.001
