@inproceedings{ac4c119bc5d446839bea33e06c1185f0,
title = "Using Virtual Meeting Structure to Support Summarisation",
abstract = "Archiving meeting transcripts in databases is not always efficient. Users need to be able to catch up with past meetings quickly, and therefore it is non-productive to read the full meeting transcript from scratch. A summarisation of the meeting transcript is preferable but the lack of meeting structure may lead to missing information. Therefore, we have introduced a virtual meeting system that is characterised by features that provide the meeting session with structure and a summarisation system that applies a TextRank approach on the structured meeting transcripts. The agenda with timed items guides the conversation. Thus the item delineation and title can be considered as the key characteristics of a valuable summary. Results show that combining an extraction summarisation technique with meeting structure leads to a relevant summary.",
keywords = "Automatic summarisation, Data model, Virtual meeting",
author = "Nanos, {Antonios G.} and James, {Anne E.} and Rahat Iqbal and Hedley, {Yih Ling}",
year = "2015",
doi = "10.1007/978-3-319-20424-6_13",
language = "English",
volume = "9147",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "133--136",
booktitle = "Data Science - 30th British International Conference on Databases, BICOD 2015, Proceedings",
address = "Austria",
note = "30th British International Conference on Databases, BICOD 2015 ; Conference date: 06-07-2015 Through 08-07-2015",
}