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

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 system attains a precision higher than 50% for half of the relationships considered.

• Type: Conference
• Year: 2006
• Where: ACL
• Authors: Enrique Alfonseca, Pablo Castells, Manabu Okumura, Maria Ruiz-Casado
• Keywords: ACL 2006, ACL 2007, Pattern Accuracy Calculation, Pattern Generalization, Pattern Generalization Algorithm