A Rote Extractor with Edit Distance-Based Generalisation and Multi-Corpora Precision Calculation

@inproceedings{Alfonseca2006ARE,
  title={A Rote Extractor with Edit Distance-Based Generalisation and Multi-Corpora Precision Calculation},
  author={Enrique Alfonseca and Pablo Castells and Manabu Okumura and Maria Ruiz-Casado},
  booktitle={ACL},
  year={2006}
}
In this paper, we describe a rote extractor that learns patterns for finding semantic relationships in unrestricted text, with new procedures for pattern generalization and scoring. These include the use of partof-speech tags to guide the generalization, Named Entity categories inside the patterns, an edit-distance-based pattern generalization algorithm, and a pattern accuracy calculation procedure based on evaluating the patterns on several test corpora. In an evaluation with 14 entities, the… CONTINUE READING

From This Paper

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

Key Quantitative Results

  • In an evaluation with 14 entities, the system attains a precision higher than 50% for half of the relationships considered.

Citations

Publications citing this paper.
Showing 1-10 of 10 extracted citations

Similar Papers

Loading similar papers…