Abstract

CANTAMUTTO, Lucía et al. Resolución de correferencias para la captura de eventos. Rev. Pilquen. secc. cienc. soc. [online]. 2015, vol.18, n.2, pp.40-49. ISSN 1851-3123.

The algorithm (proposed by Raghunathan et al. 2010) sequentially performs a series of pass of recognition, and allows to go incrementally proposing candidates to coreferenced between named entities in the text. The article briefly presents the work of adapting the algorithm Stanford Multi Pass Sieve and other analysis tools (OpeNer) to texts in Spanish (and other Agerri 2013, Bermúdez 2013). The result is a fragmented speech in sentences with full sense, that even being independent of the speech have not lost the discursive framework they belong (to inherit metadata documentaries). This can feed the event-based knowledge systems, or be linked to deposits of open data, or published independently (vg. as tweets). As a result, the article offers an example of manual analysis that, in further research, will be automatic.

Keywords : Coreference; Event capture; Resolution algorithm; Simple Event Model; Linked open data.

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