An academic English text ambiguity detection algorithm based on contextual word embeddings and deep learning
A lightweight yet highly accurate sequence labeling algorithm that combines domain-adaptive contextual embeddings with a BiLSTM-CRF framework augmented by an attention mechanism to address the pressing challenge of accurately identifying lexical and syntactic ambiguities in heterogeneous academic corpora is introduced.