Unveiling the semantic potential of BERT for unsupervised Chinese WSD via non-linear semantic sharpening
This paper proposes a training-free inference-stage enhancement termed Semantic-Sharpened Masked Language Modeling, which achieves performance comparable to knowledge-enhanced models without additional training or structural modifications, thereby improving the balance between overall accuracy and sense-level discrimin...