Learning Outside the Box: Discourse-level Features Improve Metaphor Identification
Table 2: Metaphor identification results.
['Model Baseline 1 (lemma)', 'Model Baseline 1 (lemma)', 'P 51.0', 'R 65.4', 'F1 57.3']
Interestingly, most of the simple lemma models (L) already perform at Baseline 2 level, obtaining F1 scores in the range 60–62. This is likely due to the generalization made possible by dense representations of lemmas (vs. one-hot encodings) and the more powerful statistical classifier used. As expected, the addition of argument information consistently enhances performance.