Check_square at CheckThat! 2020: Claim Detection in Social Media via Fusion of Transformer and Syntactic Features
Table 5: Task-2 Claim Retrieval Results, MAP (Mean Average Precision), *Primary Submission
['[BOLD] Run', '[BOLD] Fine-tuned', '[BOLD] KD-Search', '[BOLD] MAP@1', '[BOLD] MAP@3', '[BOLD] MAP@5', '[BOLD] MAP@10']
4.2.2 Results Interestingly, pre-trained embeddings extracted from DistilBERT without any fine-tuning turn out to be better for semantic similarity than fine-tuned monolingual BERT models. We also try to fine-tune the multilingual model which drastically decreases the retrieval performance.