Latent user models for online river information tailoring

Xiwu Han, Somayajulu Sripada, Kit Macleod, Antonio A.R. Ioris

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

2 Citations (Scopus)

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 languageEnglish
Title of host publicationINLG 2014 - Proceedings of the 8th International Natural Language Generation Conference, including - Proceedings of the INLG and SIGDIAL 2014 Joint Session
PublisherAssociation for Computational Linguistics (ACL)
Pages133-137
Number of pages5
ISBN (Electronic)9781941643228
Publication statusPublished - 2014
Event8th International Natural Language Generation Conference, INLG 2014 - Philadelphia, United States
Duration: 19 Jun 201421 Jun 2014

Conference

Conference8th International Natural Language Generation Conference, INLG 2014
Country/TerritoryUnited States
CityPhiladelphia
Period19/06/1421/06/14

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