Extracting semantically-coherent keyphrases from speech
AbstractA method for extracting keyphrase from spoken audio is discussed. The approach is based on the extractor system developed for text by Turney. The extractor uses a supervised learning approach to maximize the overlap between machine extracted and human extracted keyphrases. Each key word is detected with low similarity to its closest semantic neighbor, using an algorithm.
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