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NAACL
2010
13 years 4 months ago
Minimally-Supervised Extraction of Entities from Text Advertisements
Extraction of entities from ad creatives is an important problem that can benefit many computational advertising tasks. Supervised and semi-supervised solutions rely on labeled da...
Sameer Singh, Dustin Hillard, Chris Leggetter
AAAI
2012
11 years 9 months ago
Ontological Smoothing for Relation Extraction with Minimal Supervision
Relation extraction, the process of converting natural language text into structured knowledge, is increasingly important. Most successful techniques use supervised machine learni...
Congle Zhang, Raphael Hoffmann, Daniel S. Weld
ACL
2007
13 years 8 months ago
Learning to Extract Relations from the Web using Minimal Supervision
We present a new approach to relation extraction that requires only a handful of training examples. Given a few pairs of named entities known to exhibit or not exhibit a particula...
Razvan C. Bunescu, Raymond J. Mooney
PVLDB
2008
85views more  PVLDB 2008»
13 years 6 months ago
Scalable ad-hoc entity extraction from text collections
Supporting entity extraction from large document collections is important for enabling a variety of important data analysis tasks. In this paper, we introduce the "ad-hoc&quo...
Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaud...
CHI
2006
ACM
14 years 7 months ago
Entity quick click: rapid text copying based on automatic entity extraction
Retyping text phrases can be time consuming. As a result, techniques for copying text from one software application to another, such as copy-and-paste and drag-and-drop are now co...
Eric A. Bier, Edward W. Ishak, Ed Chi