Proceedings of the 2009 Workshop on Text and Citation Analysis for Scholarly Digital Libraries - NLPIR4DL '09 2009
DOI: 10.3115/1699750.1699752
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Researcher affiliation extraction from homepages

Abstract: Our paper discusses the potential use of Web Content Mining techniques for gathering scientific social information from the homepages of researchers. We will introduce our system which seeks [affiliation, position, start year, end year] information tuples on these homepages along with preliminary experimental results. We believe that the lessons learnt from these experiments may be useful for further scientific social web mining.

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(1 citation statement)
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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%
“…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%