GATE-Time: Extraction of Temporal Expressions and Events

Leon Derczynski, Jannik Strötgen, Diana Maynard, Mark A. Greenwood, Manuel Jung


Abstract
GATE is a widely used open-source solution for text processing with a large user community. It contains components for several natural language processing tasks. However, temporal information extraction functionality within GATE has been rather limited so far, despite being a prerequisite for many application scenarios in the areas of natural language processing and information retrieval. This paper presents an integrated approach to temporal information processing. We take state-of-the-art tools in temporal expression and event recognition and bring them together to form an openly-available resource within the GATE infrastructure. GATE-Time provides annotation in the form of TimeML events and temporal expressions complying with this mature ISO standard for temporal semantic annotation of documents. Major advantages of GATE-Time are (i) that it relies on HeidelTime for temporal tagging, so that temporal expressions can be extracted and normalized in multiple languages and across different domains, (ii) it includes a modern, fast event recognition and classification tool, and (iii) that it can be combined with different linguistic pre-processing annotations, and is thus not bound to license restricted preprocessing components.
Anthology ID:
L16-1587
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
3702–3708
Language:
URL:
https://aclanthology.org/L16-1587
DOI:
Bibkey:
Cite (ACL):
Leon Derczynski, Jannik Strötgen, Diana Maynard, Mark A. Greenwood, and Manuel Jung. 2016. GATE-Time: Extraction of Temporal Expressions and Events. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 3702–3708, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
GATE-Time: Extraction of Temporal Expressions and Events (Derczynski et al., LREC 2016)
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PDF:
https://preview.aclanthology.org/update-css-js/L16-1587.pdf
Code
 GateNLP/gateplugin-Tagger_GATE-TIME