Extracting Information for Context-aware Meeting Preparation

Simon Scerri and Behrang QasemiZadeh and Maciej Dabrowski and Ismael Rivera (2014) Extracting Information for Context-aware Meeting Preparation Proceedings of the Ninth International Conference on Language Resources and Evaluation

Abstract

People working in an office environment suffer from large volumes of information that they need to manage and access. Frequently, the problem is due to machines not being able to recognise the many implicit relationships between office artefacts, and also due to them not being aware of the context surrounding them. In order to expose these relationships and enrich artefact context, text analytics can be employed over semi-structured and unstructured content, including free text. In this paper, we explain how this strategy is applied and partly evaluated for a specific use-case: supporting the attendees of a calendar event to prepare for the meeting.

Funder

EU
SFI

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Attribution-NonCommercial-NoDerivs 3.0 Ireland

cbn

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Data Science Institute (Scholarly Articles)