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A system that can produce informative summaries, highlighting common information found in many online documents, will help Web users to pinpoint information that they need without extensive reading. I...
Current research in automatic single-document summarization is dominated by two effective,yet naıve approaches: summarization by sentence extraction and headline generation via bagof-words models...
Marcu’s monograph is based on his Ph.D. thesis—research carried out at the Department of Computer Science, University of Torontoand subsequent work conducted at the Information Sciences Institute, Un...
As the amount of on-line information increases, systems that can automatically summarize one or more documents become increasingly desirable. Recent research has investigated types of summaries, meth...
Automatic summarization of open-domain spoken dialogues is a relatively new research area. This article introduces the task and the challenges involved and motivates and presents an approach for obt...
While automatic text summarization is an area that has received a great deal of attention in recent research, the problem of efficiency in this task has not been frequently addressed. When the ...
Automatic Summarization     Automatic Summarization       2015/8/27
Though the first attempts at automatic abstracting were made about 45 years ago, this area was until quite recently a rather obscure specialism. No doubt, this was due to the nonavailability of machin...
It has been said for decades (if not centuries) that more and more information is becoming available and that tools are needed to handle it. Only recently, however, does it seem that a suffici...
We introduce the idea of a sentiment summary, a single passage from a document that captures an author’s opinion about his or her subject. Using supervised data from the Rotten Tomatoes website, we ex...

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