Bridging temporal context gaps using time-aware re-contextualization
|Bridging temporal context gaps using time-aware re-contextualization|
|Author(s)||Ceroni A., Tran N.K., Kanhabua N., Niederee C.|
|Published in||SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval|
|Keyword(s)||Complementarity, Temporal context, Time-aware re-contextualization, Wikipedia (Extra: Information retrieval, Complementarity, Context information, Learning to rank, News articles, Temporal context, Time-aware re-contextualization, Time-awareness, Wikipedia, Semantics)|
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Bridging temporal context gaps using time-aware re-contextualization is a 2014 conference paper written in English by Ceroni A., Tran N.K., Kanhabua N., Niederee C. and published in SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval.
Understanding a text, which was written some time ago, can be compared to translating a text from another language. Complete interpretation requires a mapping, in this case, a kind of time-travel translation between present context knowledge and context knowledge at time of text creation. In this paper, we study time-aware re-contextualization, the challenging problem of retrieving concise and complementing information in order to bridge this temporal context gap. We propose an approach based on learning to rank techniques using sentence-level context information extracted from Wikipedia. The employed ranking combines relevance, complementarity and time-awareness. The effectiveness of the approach is evaluated by contextualizing articles from a news archive collection using more than 7,000 manually judged relevance pairs. To this end, we show that our approach is able to retrieve a significant number of relevant context information for a given news article. Copyright 2014 ACM.
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