Table 5.

Performance changes with different input representations on the overall-2013 dataset

Input representation	P(%)	R(%)	F(%)
(1): word without attention	54.7	42.8	48.0
(2): word + att	76.5	67.5	71.7
(3): word + att + pos	70.9	74.7	72.7
(4): word + att + position	79.1	73.9	76.4
(5): word + att + pos + position	78.4	76.2	77.3

Every model in this table uses all preprocessing techniques of our approach. Word without attention denotes the model without the attention mechanism which uses only word embedding. Word + att denotes the model which uses the attention mechanism and word embedding