Summary of the paper
| Title | Extracting Information for Context-aware Meeting Preparation |
|---|---|
| Authors | Simon Scerri, Behrang Q. Zadeh, Maciej Dabrowski and Ismael Rivera |
| 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. |
| Topics | Knowledge Discovery/Representation, Topic Detection & Tracking |
Full paper  |
Extracting Information for Context-aware Meeting Preparation |
| Bibtex | @InProceedings{SCERRI14.1092, author = {Simon Scerri and Behrang Q. Zadeh and Maciej Dabrowski and Ismael Rivera}, title = {Extracting Information for Context-aware Meeting Preparation}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |