Lei Peng

Short Texts Keyword Extraction

The study proposed an attentive autoencoder framework that integrated a multihead self-attention mechanism for contextual representation, an importance scoring network for keyword ranking, and a dual-loss optimization function combining reconstruction loss and sparsity loss to enable accurate keyword identification without manual annotation.