Inproceedings,
Bridging Temporal Context Gaps Using Time-aware Re-contextualization
Proceedings of the 37th International ACM SIGIR Conference on Research &\#38; Development in Information Retrieval, page 1127--1130. New York, NY, USA, ACM, (2014)
DOI: 10.1145/2600428.2609526
Abstract
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, complimentarity 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.
