Abstract
Today's parliamentary information systems make political data available to the public in an effective and efficient way by moving from the classical document-centric model to a rich information-centric model for political data. We propose a novel approach to exploiting the rich information sources available through such parliamentary information systems for ranking results of a typical query for debates in accordance with their importance, for which we have developed several proxies. Our initial evaluation indicates that debate intensity and key players have an important role in signaling the importance of a debate.
| Original language | English |
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| Pages | 345-350 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 26 Jun 2012 |
| Event | Seventeenth International Conference on Applications of Natural Language to Information Systems (NLDB 2012) - Groningen, The Netherlands Duration: 26 Jun 2012 → 28 Jun 2012 |
Conference
| Conference | Seventeenth International Conference on Applications of Natural Language to Information Systems (NLDB 2012) |
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| City | Groningen, The Netherlands |
| Period | 26/06/12 → 28/06/12 |
Research programs
- EUR ESE 32
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