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Semantic Fingerprint Sentence Generation [DEMO #5]

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Semantic Fingerprint Sentence Generation [DEMO #5]
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19
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CC Attribution 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Abstract
In this hack, we will attempt to generate semantic fingerprints from WordNet semantic relationships and train the HTM to recognize sequences of meaning from training texts. The trained HTM will be used to generate English sentences by using the predicted sequence of SDRs from the HTM to select words from the training set to fill in blanks in the sentences generated according to a limited English grammar.