Extracting semantically-coherent keyphrases from speech
Diana Zaiu Inkpen, Alain Désilets · NPARC · 2004
A 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.