This paper presents a stochastic graph based method for recommending or selecting a small subset of blogs that best represents a much larger set. within a certain topic. Each blog...
Ahmed Hassan, Dragomir R. Radev, Junghoo Cho, Amru...
In this paper, we introduce the fractal summarization model based on the fractal theory. In fractal summarization, the important information is captured from the source text by ex...
We present a cut and paste based text summarizer, which uses operations derived from an analhuman written abstracts. The summarizer edits extracted sentences, using reduction to r...
A serious bottleneck in the development of trainable text summarization systems is the shortage of training data. Constructing such data is a very tedious task, especially because...
The paper describes an incremental advance in search engine from Internet information searching to information summarizing service. This incremental innovation requires only exist...