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0 votes
1 answer
233 views

How to add a pretrained model to my layers to get embeddings?

I want to use a pretrained model found in [BERT Embeddings] https://github.com/UKPLab/sentence-transformers and I want to add a layer to get the sentence embeddings from the model and pass on to the ...
inquisitive's user avatar
3 votes
1 answer
67 views

What should the dimension of the input be for text summarization?

I am trying to build a model for extractive text summarization using keras sequential layers. I am having a hard time trying to understand how to input my x data. Should it be an array of documents ...
inquisitive's user avatar
1 vote
0 answers
58 views

How can I generate keywords associated with a website given its URL?

I have a column with links to websites and another column with keywords from those websites. I have to find a map between these two, such that for a new input, which is a website's URL, I can generate ...
amrta's user avatar
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5 votes
4 answers
1k views

Use Machine/Deep Learning to Guess a String

I want to be able to input a block of text and then have it guess a string within a predefined range (i.e. a string that starts with three letters and ends with five numbers like "XXX12345", etc). ...
TreHoffman's user avatar
2 votes
2 answers
143 views

What is easier or more efficient to summarize voice or text? [DP/RN]

If possible consider the relationship between implementation difficulty and accuracy in voice examples or simply chat conversations. And currently, what are the directions on algorithms like Deep ...
Eric Saboia's user avatar
4 votes
1 answer
102 views

Can abstractive summarization be achieved using neural networks?

Text summarization is a long-standing research problem that was "ignited" by Luhn in 1958. However, a half century later, we still came nowhere close to solving this problem (abstractive ...
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