19 search results - page 1 / 4 » Learning 5000 Relational Extractors |
ACL
2010
13 years 3 months ago
2010
Many researchers are trying to use information extraction (IE) to create large-scale knowledge bases from natural language text on the Web. However, the primary approach (supervis...
IJCAI
2001
13 years 6 months ago
2001
We study the application of Hidden Markov Models (HMMs) to learning information extractors for
WWW
2011
ACM
12 years 12 months ago
2011
ACM
We propose a method to adapt an existing relation extraction system to extract new relation types with minimum supervision. Our proposed method comprises two stages: learning a lo...
AAAI
2012
11 years 7 months ago
2012
Relation extraction, the process of converting natural language text into structured knowledge, is increasingly important. Most successful techniques use supervised machine learni...
ACL
2011
12 years 8 months ago
2011
Information extraction (IE) holds the promise of generating a large-scale knowledge base from the Web’s natural language text. Knowledge-based weak supervision, using structured...