Convolution-Based Neural Attention With Applications to Sentiment Classification
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DOI: 10.1109/access.2019.2900335
Abstract: Neural attention mechanism has achieved many successes in various tasks in natural language processing. However, existing neural attention models based on a densely connected network are loosely related to the attention mechanism found in psychology… read more here.
Keywords: sentiment classification; attention; neural attention; convolution based ... See more keywords
Neural Attention Model for Abstractive Text Summarization Using Linguistic Feature Space
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DOI: 10.1109/access.2023.3249783
Abstract: Summarization generates a brief and concise summary which portrays the main idea of the source text. There are two forms of summarization: abstractive and extractive. Extractive summarization chooses important sentences from the text to form… read more here.
Keywords: neural attention; text summarization; feature; attention model ... See more keywords