Abstract
The task of Open Relation Extraction from texts faces many challenges, considering the required linguistic knowledge and the sophistication of the language processing techniques employed. This paper presents the extraction and structuring of open relations between named entities from Portuguese texts. We apply the Conditional Random Fields model for the extraction of relation descriptors between named entities belonging to Person, Place and Organisation categories. A 0.64 of F-measure was reached as a result. To make better sense of the output, we structure the extracted relation descriptors using mining configurations.
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Notes
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Recognition of Relation between Named Entities.
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It is worth noting that preposition-article contraction is split (“da”, “do” changes to “de + a”, “de + o”).
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We thank the CNPQ, CAPES and FAPERGS for their financial support.
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Collovini, S., Machado, G., Vieira, R. (2016). Extracting and Structuring Open Relations from Portuguese Text. In: Silva, J., Ribeiro, R., Quaresma, P., Adami, A., Branco, A. (eds) Computational Processing of the Portuguese Language. PROPOR 2016. Lecture Notes in Computer Science(), vol 9727. Springer, Cham. https://doi.org/10.1007/978-3-319-41552-9_16
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