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 A Survey On Hybrid Model Automatic Text Summarization
Our hybrid model is an extractive based text summarization model. Four different techniques are involved in this model: MMI, PSO, Fuzzy Logic and Neural networks. MMI concentrates on filtering the similar sentences present in the document and selecting the most diverse sentences, PSO is used for
Journal Papers | Prof. Dr. Naomie Salim
M.S. BinWahlan, Salim,N and L. Suanmali, (2009), “MMI Diversity-based Text Summarization”, International Journal of Computer Science and Security, 3: ... (2009) “Swarm Diversity Based Text Summarization”, Neural Information Processing, 5864:216-225 (Scopus indexed) Okfalisa, Alias R.A., Wong K.Y. and Salim,N (2009). “A Review on ......
Text Generation With LSTM Recurrent Neural Networks in ...
Recurrent neural networks can also be used as generative models. This means that in addition to being used for predictive models (making predictions) they can learn the sequences of a problem and then generate entirely new plausible sequences for the problem domain. Generative models like this are useful not only to study how well a model has learned a problem, but to
Diversity-Based Generalization for Neural Unsupervised ...
02/25/20 - Domain adaptation approaches seek to learn from a source domain and generalize it to an unseen target domain. At present, the stat...
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