Meta Comments for Summarizing Meeting Speech

Murray, Gabriel; Renals, Steve

doi:10.1007/978-3-540-85853-9_22

Cited by 6 publications

(2 citation statements)

References 20 publications

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“…In order to compare the ConverSumm system with state-of-the-art systems for meeting and email summarization, respectively, we also present results using the features described by Murray and Renals (2008) for meetings and the features described by Rambow (2004) for email. Because the work by Murray and Renals used the same dataset, we can compare our scores directly.…”

Section: Comparison Summarization Systemsmentioning

confidence: 99%

Summarizing spoken and written conversations

Murray

Carenini

2008

Proceedings of the Conference on Empirical Methods in Natural Language Processing - EMNLP '08

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In this paper we describe research on summarizing conversations in the meetings and emails domains. We introduce a conversation summarization system that works in multiple domains utilizing general conversational features, and compare our results with domain-dependent systems for meeting and email data. We find that by treating meetings and emails as conversations with general conversational features in common, we can achieve competitive results with state-of-theart systems that rely on more domain-specific features.

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Section: Comparison Summarization Systemsmentioning

confidence: 99%

Summarizing spoken and written conversations

Murray

Carenini

2008

Proceedings of the Conference on Empirical Methods in Natural Language Processing - EMNLP '08

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“…A combination of several feature groups has been suggested to enhance automatic meeting summarisation methods and this really seems to improve the outcome in general [43,62]. Thus, this work assumes that additional clues may be helpful for meeting summarisation techniques.…”

Section: Overviewmentioning

confidence: 99%

Participants’ personal note-taking in meetings and its value for automatic meeting summarisation

Bothin

Clough

2011

Inf Technol Manag

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This paper reports the results of novel quantitative research on multiple people's personal note-taking in meetings with the long-term aim of aiding the creation of innovative meeting understanding applications. We present three experiments using a large number of group meetings taken from the Augmented Multi-party Interaction meeting corpus. Statistical techniques were employed for this work. Our findings suggest that temporal note-taking overlap information and the semantic content of the written private notes taken by many meeting participants both point to the majority of the most informative meeting events. Thus, the characteristics of note-taking can be seen as a contributing feature for new automatic meeting summarisation approaches and for the development of future meeting browser environments that better support the needs of individuals and organisations.

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