Intra-Speaker Topic Modeling for Improved Multi-Party Meeting Summarization with Integrated Random Walk

Experimental results show that this new approach offers significantly better performance than the previously proposed pseudo-relevance feedback approach, which considers primarily

This paper proposes an improved approach for spoken lecture summarization, in which random walk is performed on a graph constructed with automatically extracted key terms and

Between-Layer Relation via Hidden Parameters Given a set of utterances {U i , i = 1, 2, ..., |U |} and a set of speakers {S j , j = 1, 2, |S|}, where a speaker node in the graph

For manual transcripts, row (e) cannot perform better by combing two types of similarity, which means topical similarity can dominate lexical similarity, since without

So we check derivative of f and g, the small one would correspond to graph (b) and the other to (c)(i.e.. Moreover, f is

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In an oilrenery a storage tank contains 2000 gallons of gasoline that initially has 100lb of an additive dissolved in it. In preparation for winter weather, gasoline containing 2lb

Now, nearly all of the current flows through wire S since it has a much lower resistance than the light bulb. The light bulb does not glow because the current flowing through it