Paraphrasing vs Coreferring: Two Sides of the Same Coin
Table 4: Test set results of the classifier and the scorer.
['[EMPTY]', 'Accuracy', 'Precision', 'Recall', '[ITALIC] F1']
We compared our classifier with two baselines; one based on the original Chirps scores and another based on cosine similarity scores between the two mentions using GloVe embeddings Pennington et al. For both baselines we used the train set to learn a threshold T for which predicate pairs whose score exceeds T are considered paraphrases. Our classifier substantially improved upon the baselines in both accuracy and F1, by decreasing the false-positive error rate.