We compare the performance of AutoSlog across the three domains, discuss the lessons learned about the generality of this approach, and present results from two experiments which demonstrate that novice users can generate effective dictionaries using AutoSlog. Knowledge-based NLP systems typically rely on a conceptual dictionary that has been manually encoded for a specific domain.
Few examples apply general lexical semantic resources.
An empirical study of automated dictionary construction for information extraction in three domains. The graph only includes citing articles where the year of publication is known.