Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | SIGIR 2014 |
| Untertitel | Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval |
| Herausgeber (Verlag) | Association for Computing Machinery (ACM) |
| Seiten | 1127-1130 |
| Seitenumfang | 4 |
| ISBN (Print) | 9781450322591 |
| Publikationsstatus | Veröffentlicht - Juli 2014 |
| Veranstaltung | 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014 - Gold Coast, QLD, Australien Dauer: 6 Juli 2014 → 11 Juli 2014 |
Publikationsreihe
| Name | SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval |
|---|
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, 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.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Computergrafik und computergestütztes Design
- Informatik (insg.)
- Information systems
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- RIS
SIGIR 2014 : Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery (ACM), 2014. S. 1127-1130 (SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Bridging temporal context gaps using time-aware re-contextualization
AU - Ceroni, Andrea
AU - Tran, Nam Khanh
AU - Kanhabua, Nattiya
AU - Niederée, Claudia
PY - 2014/7
Y1 - 2014/7
N2 - 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.
AB - 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.
KW - Complementarity
KW - Temporal context
KW - Time-aware re-contextualization
KW - Wikipedia
UR - http://www.scopus.com/inward/record.url?scp=84904539716&partnerID=8YFLogxK
U2 - 10.1145/2600428.2609526
DO - 10.1145/2600428.2609526
M3 - Conference contribution
AN - SCOPUS:84904539716
SN - 9781450322591
T3 - SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval
SP - 1127
EP - 1130
BT - SIGIR 2014
PB - Association for Computing Machinery (ACM)
T2 - 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014
Y2 - 6 July 2014 through 11 July 2014
ER -