First approach toward Semantic Role Labeling for Basque

@inproceedings{Salaberri2014FirstAT,
  title={First approach toward Semantic Role Labeling for Basque},
  author={Haritz Salaberri and Olatz Arregi Uriarte and Be{\~n}at Zapirain},
  booktitle={LREC},
  year={2014}
}
In this paper, we present the first Semantic Role Labeling system developed for Basque. The system is implemented using machine learning techniques and trained with the Reference Corpus for the Processing of Basque (EPEC). In our experiments the classifier that offers the best results is based on Support Vector Machines. Our system achieves 84.30 F1 score in identifying the PropBank semantic role for a given constituent and 82.90 F1 score in identifying the VerbNet role. Our study establishes a… CONTINUE READING

From This Paper

Figures, tables, results, and topics from this paper.

Key Quantitative Results

  • Our system achieves 84.30 F1 score in identifying the PropBank semantic role for a given constituent and 82.90 F1 score in identifying the VerbNet role.

References

Publications referenced by this paper.

Similar Papers

Loading similar papers…