Researcher affiliation extraction from homepages

Nagy, István; Farkas, Richárd; Jelasity, Márk

doi:10.3115/1699750.1699752

Cited by 1 publication

(1 citation statement)

References 18 publications

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“…The majority of works in attribute mining focus on extracting values for pre-specified attributes, such as person names. There is a sub-task of WePS (Web People Search Workshop) (Artiles et al 2010;Artiles et al 2009) concerning the extraction of affiliation (Nagy et al 2009), gender, and profession (Tokunaga et al 2005) of people. Besides the extraction of person attributes, there are also some works on product property extraction, such as Ghani et al (2006) and Probst et al (2007), in which the researchers extracted "attributevalue" pairs from product descriptions.…”

Section: Attribute Mining Approachesmentioning

confidence: 99%

Geometric analysis of concept vectors based on similarity values

Liu

Duan

2017

lingua. sin.

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In this paper, we offer a geometric framework for the computing of a concept's conceptual vector based on its similarity position with other concepts in a vector space called concept space, which is a set of concept vectors together with a distance function derived from a similarity model. We show that there exists an isometry to map a concept space to a Euclidean space. So, the concept vector can be mapped to a coordinate in a Euclidean space and vice versa. Therefore, given only the similarity position of a concept, we can locate its coordinate and its concept vector subsequently, using distance geometry methods. We prove that such mapping functions do exist under some conditions. We also discuss how to map non-numerical attributes. At last, we show some preliminary experimental results and thoughts in the implementation of an attribute mining task. This work will benefit attribute retrieval tasks.

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