Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/27375
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| Title: | Automated Event Extraction Model for Linked Portuguese Documents |
| Authors: | Raiyani, Kashyap
Quaresma, Paulo
Gonçalves, Teresa
Nogueira, Vitor |
| Issue Date: | 2019 |
| Publisher: | Proceedings of Text2Story — Second Workshop on Narrative Extraction From Texts Co-Located with 41th European Conference on Information Retrieval (ECIR 2019) |
| Citation: | Raiyani, K., Quaresma, P., Gonçalves, T., & Nogueira, V. (2019). Automated Event Extraction Model for Linked Portuguese Documents. Proceedings of Text2Story — Second Workshop on Narrative Extraction From Texts Co-Located with 41th European Conference on Information Retrieval (ECIR 2019). https://www.researchgate.net/publication/332935894_Automated_Event_Extraction_Model_for_Linked_Portuguese_Documents |
| Abstract: | In recent times, Machine Learning is booming and researchers are applying it to the most conceivable cases such as the area of linked documents. This article presents a process of automatic event extraction from Portuguese linked document whose accuracy (95.00%) was calculated by manual verification. With the help of an ontological structure, extracted events are mapped as a knowledge graph that represents the named entities and the events associated with each document. Such graphs are accessible through SPARQL queries. This way, the information existing in the linked documents can be easily accessed by resorting to a question-answering approach. |
| URI: | https://www.researchgate.net/publication/332935894_Automated_Event_Extraction_Model_for_Linked_Portuguese_Documents
http://hdl.handle.net/10174/27375 |
| Type: | article |
| Appears in Collections: | INF - Artigos em Livros de Actas/Proceedings
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