Information Retrieval Oriented Auto-Construction of Conceptual Relations
Hui Liu · Zhongwen xinxi xuebao · 2007
The dependence analysis between concepts is usually one of the key points for improving the performance of information retrieval system.In this paper,we explore a bootstrapping method to automatically extract semantic patterns for identifying the (geographical) is-part-of,(entity) function and (motion) object relations between concepts in contexts.A system,named SPG(Semantic Pattern Getter),is developed.Our contributions lie in:(1) introducing a bi-sequence alignment algorithm in bioinformatics to generate candidate patterns,and(2) defining a new evaluating metric for patterns' confidences.In terms of the automatic recognition of the three relations,the experiments show that the pattern set generated by SPG achieves higher precision and coverage than DIPRE does.