This article presents new alternatives to the similarity function for the TextRank algorithm for
automatic summarization of texts. We describe the generalities of the algorithm and the …

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 …

Spoken content retrieval refers to directly indexing and retrieving spoken content based on
the audio rather than text descriptions. This potentially eliminates the requirement of …

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

Information overloading requires the need for summarizers to extract salient information from
the text. Currently, there is an overload of dialogue data due to the rise of virtual …

We propose a novel end-to-end framework for abstractive meeting summarization. We
cluster sentences in the input into communities and build an entailment graph over the …

Local governments still depend on traditional town halls for community consultation, despite
problems such as a lack of inclusive participation for attendees and difficulty for civic …

Automatic text summarization methods are increasingly needed in different fields of
knowledge. In the scientific literature, generic extractive multi-document text summarization …