In: Encyclopedia of Big Data Technologies, 2018, p. 1–7
With the growing popularity of multi-relational data on the Web, knowledge graphs (KGs) have become a key data source in various application domains, such as Web search, question answering, and natural language understanding. In a typical KG such as Freebase (Bollacker et al. 2008) or Google’s Knowledge Graph (Google 2014), entities are connected via relations. For example, Bern is capital...
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In: Encyclopedia of Big Data Technologies, 2018, p. 1–7
In this chapter, we discuss approaches leveraging distant supervision for relation extraction. We start by introducing the key ideas behind distant supervision as well as their main shortcomings. We then discuss approaches that improve over the basic method, including approaches based on the at-least-one-principle along with their extensions for handling false negative labels, and approaches...
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In: ACM Comput. Surv., 2018, vol. 51, no. 5, p. 106:1–106:35
Relation extraction is a subtask of information extraction where semantic relationships are extracted from natural language text and then classified. In essence, it allows us to acquire structured knowledge from unstructured text. In this article, we present a survey of relation extraction methods that leverage pre-existing structured or semi- structured data to guide the extraction process....
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In: World Wide Web, 2017, p. 1–25
Crime is a complex social issue impacting a considerable number of individuals within a society. Preventing and reducing crime is a top priority in many countries. Given limited policing and crime reduction resources, it is often crucial to identify effective strategies to deploy the available resources. Towards this goal, crime hotspot prediction has previously been suggested. Crime hotspot...
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In: Nucleic Acids Research, 2015, vol. 43, no. 16, p. e103-e103
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In: ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp’16)
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In: Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI’16)
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In: Web Semantics: Science, Services and Agents on the World Wide Web
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