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Query Expansion with Temporal Segmented Texts
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Orientador(es)
Resumo(s)
The use of temporal data extracted from text, to improve the effectiveness of Information Retrieval systems, has recently been the focus of important research work. Our research hypothesis is that the usage of the temporal relationship between words improves the Information Retrieval results. For this purpose, the texts are temporally segmented to establish a relationship between words and dates found in texts. This approach was applied in Query Expansion systems, using a collection with Portuguese newspaper texts. The results showed that the use of the temporality of words can enhance retrieval effectiveness. In particular for time-sensitive queries, we achieved 9.5% improvement in Precision@10. To our knowledge, this is the first work using temporal text segmentation to improve retrieval results.
Descrição
Part of the book series: Lecture Notes in Computer Science (LNISA,volume 8416).
Palavras-chave
Query expansion temporal information retrieval information retrieval temporal segmented texts search evaluation
Contexto Educativo
Citação
Craveiro, O., Macedo, J., Madeira, H. (2014). Query Expansion with Temporal Segmented Texts. In: de Rijke, M., et al. Advances in Information Retrieval. ECIR 2014. Lecture Notes in Computer Science, vol 8416. Springer, Cham. https://doi.org/10.1007/978-3-319-06028-6_65
Editora
Springer Nature
Coleções
Licença CC
Sem licença CC