Collectively Representing Semi-Structured Data from the Web

author: Bhavana Dalvi, Language Technologies Institute, Carnegie Mellon University
recorded by: AKBC-WEKEX
published: July 13, 2012,   recorded: June 2012,   views: 2990


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In this paper, we propose a single lowdimensional representation of a large collection of table and hyponym data, and show that with a small number of primitive operations, this representation can be used effectively for many purposes. Specifically we consider queries like set expansion, class prediction etc. We evaluate our methods on publicly available semi-structured datasets from the Web.

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