Abstract | ||
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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. |
Year | Venue | Keywords |
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2016 | LREC 2016 - TENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | Temporal tagging,Event extraction,GATE |
Field | DocType | Citations |
Computer science,Speech recognition,Temporal expressions,Artificial intelligence,Natural language processing | Conference | 0 |
PageRank | References | Authors |
0.34 | 11 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Leon Derczynski | 1 | 654 | 46.05 |
Jannik Strötgen | 2 | 492 | 38.20 |
Diana Maynard | 3 | 1799 | 160.95 |
Mark A. Greenwood | 4 | 269 | 20.60 |
Manuel Jung | 5 | 0 | 0.34 |