HeidelToul: A Baseline Approach for Cross-document Event Ordering

HeidelToul: A Baseline Approach for Cross-document Event Ordering
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HeidelToul:跨文档事件排序的基准方法

DOI:
10.18653/v1/s15-2139
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发表时间:
2015
期刊:
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
影响因子:
--
通讯作者:
Lynda Tamine
Lynda Tamine
中科院分区:
--
文献类型:
--
作者:
Bilel Moulahi;Jannik Strötgen;Michael Gertz;Lynda Tamine

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在本文中,我们概述了我们参与SemEval-2015的时间表生成任务(任务4,时间表:跨文档事件排序)。这一新轨道的主要目标是,在给定一组新闻文章和一个所谓的目标实体的情况下,确定与该实体相关的事件,解决事件相互参照问题,并按时间顺序对事件进行排序。我们解决了 子任务,其中提供了事件提及,即不需要额外的事件提取。为此,我们开发了一种基于时间标记器和实体共指解析工具的自组织方法。在确定相关句子之后,提取相关事件并将其锚定在时间线上。对三个新闻文章集进行的评估表明,我们的方法--尽管它很简单--取得了合理的结果,并为未来的工作打开了几个有希望的问题。
In this paper, we give an overview of our participation in the timeline generation task of SemEval-2015 (task 4, TimeLine: Cross-Document Event Ordering). The main goals of this new track are, given a collection of news articles and a so-called target entity, to determine events that are relevant for the entity, to resolve event coreferences, and to order the events chronologically. We addressed the sub-tasks, in which event mentions were provided, i.e., no additional event extraction was required. For this, we developed an ad-hoc approach based on a temporal tagger and a coreference resolution tool for entities. After determining relevant sentences, relevant events are extracted and anchored on a timeline. The evaluation conducted on three collections of news articles shows that our approach – despite its simplicity – achieves reasonable results and opens several promising issues for future work.
用于患者监测的时间抽象系统。
DOI: --
发表时间: 1992
期刊: Proceedings. Symposium on Computer Applications in Medical Care
影响因子: --
作者:
Shahar,Y;Musen,MA
通讯作者: Musen,MA