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ThinkMind // SEMAPRO 2013, The Seventh International Conference on Advances in Semantic Processing // View article semapro_2013_1_20_50059


Recovery of Temporal Expressions From Text: The RISO-TT Approach

Authors:
Adriano Santos
Ulrich Schiel

Keywords: temporal expressions extractor; temporal pattern recognition; natural language processing

Abstract:
The necessity of managing the large amount of digital documents existing nowadays, associated to the human inability to analyze all this information in a fast manner, led to a growth of research in the area of development of systems for automation of the information management process. Nevertheless, this is not a trivial task. Most of the available documents do not have a standardized structure, hindering the development of computational schemes that can automate the analysis of information, thus requiring jobs of information conversion from natural language to structured information. For such, syntactic, temporal and spatial pattern recognition tasks are needed. Concerning the present study, the main objective is to create an advanced temporal pattern recognition mechanism. We created a rules dictionary of temporal patterns, developing a module with an extendable and flexible architecture for retrieval and marking. This module, called RISO-TT, implements this pattern recognition mechanism and is part of the RISO project (Retrieval of Information with Semantics of Contexts). Two experiments were carried out in order to evaluate the efficiency of the approach. The first one was intended to verify the extendibility and flexibility of the RISO-TT architecture and the second one analyses the efficiency of the approach, based on a comparison between the developed module and two consolidated tools in the academic community (Heidelime and SUTime). RISO-TT outperformed the rivals in the temporal expression marking process, which was proved through statistical tests.

Pages: 7 to 12

Copyright: Copyright (c) IARIA, 2013

Publication date: September 29, 2013

Published in: conference

ISSN: 2308-4510

ISBN: 978-1-61208-293-6

Location: Porto, Portugal

Dates: from September 29, 2013 to October 3, 2013

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