Coreference resolution for capture of events
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 namedentities in the text. The article briefly presents the work of adapting the algorithm Stanford Multi Pass Sieve...
Guardado en:
| Autores principales: | , , , , |
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| Formato: | Artículo revista |
| Lenguaje: | Español |
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Centro Universitario Regional Zona Atlántica - Universidad Nacional del Comahue - Argentin
2017
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| Acceso en línea: | http://revele.uncoma.edu.ar/index.php/Sociales/article/view/1390 |
| Aporte de: |
| Sumario: | 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 namedentities 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, Bermúdez2013). 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 metadatadocumentaries). 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. |
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