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Found 4 papers, 0 papers with code
Bidirectional Attentional Encoder-Decoder Model and Bidirectional Beam Search for Abstractive Summarization
The model has a bidirectional encoder-decoder architecture; in which the encoder and the decoder are bidirectional LSTMs.
An Enhanced Latent Semantic Analysis Approach for Arabic Document Summarization
To ensure the effectiveness of the proposed LSA-based sentence selection algorithm, extensive experiment on Arabic and English are done.
Latent Semantic Analysis Approach for Document Summarization Based on Word Embeddings
The new schemes combine the strength of the traditional weighting schemes and word embedding.
A Hierarchical Structured Self-Attentive Model for Extractive Document Summarization (HSSAS)
To this end, we proposed a novel model that addresses several issues that are not adequately modeled by the previously proposed models, such as the memory problem and incorporating the knowledge of document structure.
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