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GTE-Cluster: A Temporal Search Interface for Implicit Temporal Queries
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Campos et al. 2012b, 2014 identified relevant temporal expressions extracted from web snippets by clustering documents sharing a common relevant year, using GTE.
“[Campos et al. 2012b, Campos et al. 2014] who identified the relevant temporal expressions extracted from web snippets by clustering in which documents were grouped into the same cluster if they share a common relevant year.”
From Survey of Temporal Information Retrieval and Related Applications (2015) · cites this paper as Campos et al. 2014
The obtained results show that the introduction of GTE improves the quality of generated clusters by retrieving a higher number of relevant dates than previous approaches.
“The obtained results show that the introduction of GTE improves the quality of generated clusters by retrieving a higher number of relevant dates than previous approaches”
From Survey of Temporal Information Retrieval and Related Applications (2015) · cites this paper as Campos et al. 2014
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Research works printed but not linked: 10
- Alonso, O., Gertz, M., Baeza-Yates, R.: Clustering and Exploring Search Results using Timeline Constructions. In: CIKM 2009, pp. 97–106. ACM Press (2009) · DOI
- Campos, R., Jorge, A., Dias, G.: Using Web Snippets and Query-logs to Measure Implicit Temporal Intents in Queries. In: QRU 2011 Associated to SIGIR 2011, pp. 13–16 (2011)
- Campos, R., Dias, G., Jorge, A.M., Nunes, C.: GTE: A Distributional Second-Order Co-Occurrence Approach to Improve the Identification of Top Relevant Dates. In: CIKM 2012, pp. 2035–2039 (2012) · DOI
- Campos, R., Jorge, A.M., Dias, G., Nunes, C.: Disambiguating Implicit Temporal Queries by Clustering Top Relevant Dates in Web Snippets. In: WIC 2012, pp. 1–8. IEEE (2012) · DOI
- Hoffart, J., Suchanek, F.M., Berberich, K., Lewis-Kelham, E., de Melo, G., Weikum, G.: YAGO2: Exploring and Querying World Knowledge in Time, Space, Context, and many Languages. In: WWW 2011, pp. 331–340. ACM Press (2011) · DOI
- Kahle, B.: Preserving the Internet. Scientific American Magazine 276(3), 72–73 (1997) · DOI
- Matthews, M., Tolchinsky, P., Blanco, R., Atserias, J., Mika, P., Zaragoza, H.: Searching through time in the New York Times. In: HCIR 2010 Workshop, pp. 41–44 (2010)
- Michel, J.B., Shen, Y.K., Aiden, A.P., Veres, A., Gray, M.K., Pickett, J.P., Hoiberg, D., Clancy, D., Norvig, P., Orwant, J., Pinker, S., Nowak, M.A., Aiden, E.L.: Quantitative Analysis of Culture Using Millions of Digitized Books. Science 331(6014) (2011) · DOI
- Nunes, S., Ribeiro, C., David, G.: Use of Temporal Expressions in Web Search. In: Macdonald, C., Ounis, I., Plachouras, V., Ruthven, I., White, R.W. (eds.) ECIR 2008. LNCS, vol. 4956, pp. 580–584. Springer, Heidelberg (2008) · DOI
- Strötgen, J., Gertz, M.: HeidelTime: High Quality Rule-based Extraction and Normalization of Temporal Expressions. In: IWSE 2010 Associated to ACL 2010, pp. 321–324 (2010)
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Survey of Temporal Information Retrieval and Related Applications
Campos, R., Dias, G., Jorge, A. M., & Jatowt, A. (2015) · ACM Computing Surveys · doi:10.1145/2619088 · Cited by 262
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Metadata
- Authors
- Campos, R., Dias, G., Jorge, A. M., & Nunes, C.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2014
- Pages
- 775-779
- ISSN
- 0302-9743
- 1611-3349
- Cited by
- 2
- References
- 0
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