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        <title>GATE-Time: Extraction of Temporal Expressions and Events</title>
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    <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.</abstract>
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%0 Conference Proceedings
%T GATE-Time: Extraction of Temporal Expressions and Events
%A Derczynski, Leon
%A Strötgen, Jannik
%A Maynard, Diana
%A Greenwood, Mark A.
%A Jung, Manuel
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 may
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F derczynski-etal-2016-gate
%X 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.
%U https://aclanthology.org/L16-1587
%P 3702-3708

Markdown (Informal)

[GATE-Time: Extraction of Temporal Expressions and Events](https://aclanthology.org/L16-1587) (Derczynski et al., LREC 2016)

• GATE-Time: Extraction of Temporal Expressions and Events (Derczynski et al., LREC 2016)

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).