Temporal Anchoring of Events

Temporal Anchoring of Events for the TimeBank Corpus

Overview

Nils Reimers, Nazanin Dehghani, Iryna Gurevych

Today’s extraction of temporal information for events heavily depends on annotated temporal links. These so called TLINKs capture the relation between pairs of event mentions and time expressions. One problem is that the number of possible TLINKs grows quadratic with the number of event mentions, therefore most annotation studies concentrate on links for mentions in the same or in adjacent sentences. However, as our annotation study shows, this restriction results for 58% of the event mentions in a less precise information when the event took place.

Our work proposes a new annotation scheme to anchor events in time. Not only is the annotation effort much lower as it scales linear with the number of events, it also gives a more precise anchoring when the events have happened as the complete document can be taken into account. Using this scheme, we annotated a subset of the TimeBank Corpus and compare our results to other annotation schemes. Addi tionally, we present some baseline experiments to automatically anchor events in time.

Dataset

You can download the annotated dataset here:

License and Citation

This dataset is released by UKP Lab, TU Darmstadt under the Creative Commons Attribution/Share-Alike License (CC-BY-SA).

Please cite the following paper:

Nils Reimers, Nazanin Dehghani, Iryna Gurevych. Temporal Anchoring of Events for the TimeBank Corpus. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016)