We introduce TLDR generation, a new form of extreme summarization, for scientific papers.
TLDR generation involves high source compression and requires expert background …

We present methods for automatically producing summary excerpts or thumbnails of music.
To find the most representative excerpt, we maximize the average segment similarity to the …

The paper presents a novel approach to unsupervised text summarization. The novelty lies
in exploiting the diversity of concepts in text for summarization, which has not received much …

On receipt of a tagged file, as a tagged document, at step S1, a document processing
apparatus at Step S2 derives the attribute information for read-out from tags of the tagged file …

We present a novel approach to automatically extracting summary excerpts from audio video
and video. Our approach is to maximize the average similarity between the excerpt and the …

While the science of automatic information retrieval (IR) has been around for quite a long
time now| basically, as long as databases of documents have been existing|, the scienti c …

The challenge of automatically summarising Web pages and sites is a great one. However,
currently there is no solution which offers an easy way to produce unbiased, coherent, and …

This paper proposes an effective method to extract salient sentences using contextual
information and statistical approaches for text summarization. The proposed method …

Extracting sentences that contain important information from a document is a form of text
summarization. The technique is the key to the automatic generation of summaries similar to …

To provide rapid access to meetings between human beings, transcription, tracking, retrieval
and summarization of on-going human-to-human conversation has to be achieved. In …