Numerous approaches for identifying important content for automatic text summarization
have been developed to date. Topic representation approaches first derive an intermediate …

It has now been 50 years since the publication of Luhn's seminal paper on automatic
summarization. During these years the practical need for automatic summarization has …

The past few years have witnessed increased interest in the potential use of wireless sensor
networks (WSNs) in applications such as disaster management, combat field …

With the abundance of automatic meeting transcripts, meeting summarization is of great
interest to both participants and other parties. Traditional methods of summarizing meetings …

We introduce a novel graph-based framework for abstractive meeting speech summarization
that is fully unsupervised and does not rely on any annotations. Our work combines the …

A system that could reliably identify and sum up the most important points of a conversation
would be valuable in a wide variety of real-world contexts, from business meetings to …

The CALO Meeting Assistant (MA) provides for distributed meeting capture, annotation,
automatic transcription and semantic analysis of multiparty meetings, and is part of the larger …

The CALO Meeting Assistant provides for distributed meeting capture, annotation, automatic
transcription and semantic analysis of multiparty meetings, and is part of the larger CALO …

We analyze and compare two different methods for unsupervised extractive spontaneous
speech summarization in the meeting domain. Based on utterance comparison, we …

We introduce a model for extractive meeting summarization based on the hypothesis that
utterances convey bits of information, or concepts. Using keyphrases as concepts weighted …