Abstract
AbstractThis paper describes a new novel approach to the conceptual modeling of text-based electronic programming guide (EPG) for broadcast TV programs by using a large text corpus constructed from the EPG metadata source. Two empirical experiments are carried out to evaluate the EPG-specific language models created using the new algorithm in context of natural language (NL) based information retrieval systems. The experimental results show the effectiveness of the algorithm for developing low-complexity concept models with high coverage for the user’s language models associated with both typed and spoken queries when interacting with a NL based EPG search interface.KeywordsNatural language modelinglinguistic properties of entertainment languageelectronic programming guidemetadata harvesting
Published Version
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