Like Kylin, LUCHS creates training data by matching Wikipedia attribute values with corresponding sentences, but by itself, this method was insufficient for accurate extraction of most relations.
lUCHS introduces a new technique, dynamic lexicon features, which dramatically improves performance when learning from sparse data and that way enables scalability.