A SONG – AUTHOR RELATIONSHIP EXTRACTOR FOR VIETNAMESE NEWS ARTICLES
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DOI:
https://doi.org/10.15625/0866-708X/49/5/1890Abstract
Relationship extraction is a vital task which is required for many research fields such as Ontology construction or Q – A systems. Good results have been reached for widely used languages such as English while the achievement for Vietnamese is still limited. This paper presents a relationship extractor for Vietnamese which is trained with semi-supervised learning. A set of metrics is employed to qualify extraction result. And a simple NER system is integrated to boost the extractor's efficiency.
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