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Descripción
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| References to documents in the legal domain usually follow patterns containing temporal information in di erent forms (e.g. 'Directive 2001/29'). These references mislead algorithms detecting pure temporal references, and false positives occur in named entity recognition algorithms searching dates or intervals. This paper presents methods and techniques to identify these references, applied to two di erent domains. The ?rst domain is that of news, where the temporal information plays a crucial role for their understanding and automatically building timelines can be hampered by the errors induced from these legal references. The second domain is that dataset descriptions. Dataset descriptions sometimes contain temporal information, not only in their dedicated metadata ?elds (e.g. dataset creation) but also within the text of their description. LawORDate, the system presented in this paper, is a web service able to detect legal references with temporal information in Spanish texts. The service identi?es these references, avoiding their annotation by temporal taggers and enabling a further step of linking the references to the original sources and building co-reference graphs | |
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Internacional
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Si |
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Nombre congreso
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TERECOM 2017 1st Workshop on Technologies for Regulatory Compliance at Jurix 2017 |
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Tipo de participación
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960 |
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Lugar del congreso
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Luxemburgo |
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Revisores
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Si |
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ISBN o ISSN
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1613-0073 |
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DOI
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Fecha inicio congreso
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13/12/2017 |
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Fecha fin congreso
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13/12/2017 |
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Desde la página
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25 |
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Hasta la página
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31 |
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Título de las actas
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Proceedings of the 1st Workshop on Technologies for Regulatory Compliance http://ceur-ws.org/Vol-2049/ |