Comparing the use of semantic relations between tags versus latent semantic analysis for generic speech summarization
Hyun Hee Kim · Proceedings of the American Society for Information Science and Technology · 2013
Abstract We proposed an advanced tag method in which original tags are expanded and the semantic relations between original or expanded tags are used to extract key sentences from lecture speech transcripts. Then, to evaluate our proposed method, we compared it with two other methods, a tag method of using only original tags and a latent semantic analysis (LSA) method. As a result, the F measure mean (0.31) of the advanced tag method is higher than that (0.29) of LSA method and it is also higher than that (0.27) of the tag method, although there is no significant difference between them respectively.