Named Entity Relation Extraction Method Based on Seed Self-expansion
2006; East China Computer Technology Research Institute; Linguagem: Inglês
ISSN
1000-3428
Autores Tópico(s)Advanced Computational Techniques and Applications
ResumoNamed entity relation extraction is an important issue in information extraction.This paper proposes a special method that extracts named entity relation from large text rendezvous.It finds out the named entity pairs,which appear in the same sentences and the distances of them is under a certain value,and converts their contexts into vectors.It selects a few named entity pair instances that have the relation wanted to extract and make them as initial relation seed set.The relation seed set is extended automatically in self-study process.It gets the named entity pairs,which have the relation wanted to extract,by calculating the similarity of context vectors between named entity pairs and relation seed set.By the method of bootstrapping,the recall and precision are enhanced.It verifies the method with the PFR corpora and achieves an average weighted F-Score of 0.813.
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