Abstract This paper presents a method for combining query-relevance with information-novelty in the context of text retrieval and summarization. The Maximal Marginal Relevance (MMR...
This paper presents a spoken document summarization scheme using acoustic, prosodic and semantic information. First, speech recognition confidence is estimated to choose reliable ...
Complex web information structures prevent search engines from providing satisfactory context-sensitive retrieval. We see that in order to overcome this obstacle, it is essential t...
To summarize is to reducein complexity, and hencein length, while retaining some of the essential qualities of the original. This paper focusses on document extracts, a particular...
Summarization of text documents is increasingly important with the amount of data available on the Internet. The large majority of current approaches view documents as linear sequ...