Abstract
Named Entity Disambiguation (NED) systems perform well on news articles and other texts covering a specific time interval. However, NED quality drops when inputs span long time periods like in archives or historic corpora. This paper presents the first time-aware method for NED that resolves ambiguities even when mention contexts give only few cues. The method is based on computing temporal signatures for entities and comparing these to the temporal contexts of input mentions. Our experiments show superior quality on a newly created diachronic corpus1
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CITATION STYLE
Agarwal, P., Strötgen, J., Del Corro, L., Hoffart, J., & Weikum, G. (2018). diaNED: Time-aware named entity disambiguation for diachronic corpora. In ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers) (Vol. 2, pp. 686–693). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/p18-2109
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