HeidelToul: A Baseline Approach for Cross-document Event Ordering

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Abstract

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.

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APA

Moulahi, B., Strötgen, J., Gertz, M., & Tamine, L. (2015). HeidelToul: A Baseline Approach for Cross-document Event Ordering. In SemEval 2015 - 9th International Workshop on Semantic Evaluation, co-located with the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2015 - Proceedings (pp. 825–829). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s15-2139

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