Name
Abstract | ||
|---|---|---|
In this paper, we propose a single low-dimensional 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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Year | Venue | Keywords |
|---|---|---|
2012 | AKBC-WEKEX@NAACL-HLT | available semi-structured datasets,single low-dimensional representation,hyponym data,class prediction,primitive operation,large collection,small number |
Field | DocType | ISBN |
Semi-structured data,Small number,World Wide Web,Information retrieval,Computer science,Natural language processing,Artificial intelligence,Set expansion | Conference | 978-1-4503-2411-3 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bhavana Bharat Dalvi | 1 | 201 | 17.31 |
| William W. Cohen | 2 | 10178 | 1243.74 |
| James P. Callan | 3 | 6237 | 833.28 |