Abstract
This paper explores Natural Language Generation techniques for online river information tailoring. To solve the problem of unknown users, we propose 'latent models', which relate typical visitors to river web pages, river data types, and river related activities. A hierarchy is used to integrate domain knowledge and latent user knowledge, and serves as the search space for content selection, which triggers user-oriented selection rules when they visit a page. Initial feedback received from user groups indicates that the latent models deserve further research efforts.
Original language | English |
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Title of host publication | INLG 2014 - Proceedings of the 8th International Natural Language Generation Conference, including - Proceedings of the INLG and SIGDIAL 2014 Joint Session |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 133-137 |
Number of pages | 5 |
ISBN (Electronic) | 9781941643228 |
Publication status | Published - 2014 |
Event | 8th International Natural Language Generation Conference, INLG 2014 - Philadelphia, United States Duration: 19 Jun 2014 → 21 Jun 2014 |
Conference
Conference | 8th International Natural Language Generation Conference, INLG 2014 |
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Country/Territory | United States |
City | Philadelphia |
Period | 19/06/14 → 21/06/14 |