Use Generalized Representations, But Do Not Forget Surface Features
Table 1: Results on the CoNLL 2012 test set.
['[EMPTY]', 'Non-Anaphoric R', 'Non-Anaphoric P', 'Non-Anaphoric F1', 'Anaphoric R', 'Anaphoric P', 'Anaphoric F1']
In order to investigate the effect of the used surface features, we also report the results of the LSTM model without using these features (LSTM∗). (2) the results of the LSTM∗ model is considerably lower than those of LSTM, especially for recognizing anaphoric mentions, and (3) the simple SVM model outperforms the neural models in detecting both anaphoric and non-anaphoric mentions.