Explainable and Discourse Topic-aware Neural Language Understanding
Table 6: WSD evaluation results using F1 scores (micro). Among proposed models, Bold values indicates best model compared to BiLSTM-LM.
['Model', 'Dev SE07', 'Test SE13', 'Test SE15', 'Test SE2', 'Test SE3', 'Test ALL']
Results: Observe that by averaging F1 scores over all test datasets, our proposed models outperform BiLSTM-LM (60.7 vs 59.8) which again confirms the advantage of document-level semantic knowledge in resolving sense ambiguities via composition.