Table 4.

Precision, Recall and F1 (micro-average) of the maximum entropy model for fine-grained entity classification, as each feature is added.

Classification Model	Entity Type
Features	METHOD	MATERIAL	PRODUCT
Words	67.71	72.56	85.76
+Context(Machine-learning model)	68.93	74.52	87.49
+Entity Type(Coarse-grained)	69.81	75.73	88.16
+Brown clusters	69.84	77.04	89.07