Two neural networks are to be considered
->to extract the syntactic structure of the sentence using Stanford parser (neural network 1)
->to classify the words from upahar to arthawad(neural network 2)
->The neural network should be combined without using weighted factor to summarize the words
->We consider fuzzy logic to summarize the [url removed, login to view] the sentences are classified on Karaka classification (K! to K7)
(refer attachment 2)
The summarized sentences are obtained
First obtain the extractive summary using the features mentioned in (4.1) Then using the details in 4.3 obtain the abstractive summary from the extractive summary ([url removed, login to view] sentence fusion)
7 Freelancer bietetn im Durchschnitt $341 für diesen Job an
Hi, I am highly skilled in Python with more than 10 years experience, with recent focus on data analytics/machine learning/AI/NLP. Please reply for further discussion.
Though I am new here,But we have strong experience in Python/Data Scraping and can very well help you with your requirements. Our team consists of Developers having experience more than 4 years.
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