23 search results - page 3 / 5 » Ontological Smoothing for Relation Extraction with Minimal S... |
ACL
2007
13 years 6 months ago
2007
A minimally supervised machine learning framework is described for extracting relations of various complexity. Bootstrapping starts from a small set of n-ary relation instances as...
LREC
2008
13 years 6 months ago
2008
This paper presents various strategies for improving the extraction performance of less prominent relations with the help of the rules learned for similar relations, for which lar...
ACL
2010
13 years 3 months ago
2010
Extracting knowledge from unstructured text is a long-standing goal of NLP. Although learning approaches to many of its subtasks have been developed (e.g., parsing, taxonomy induc...
ACL
2010
13 years 3 months ago
2010
A challenging problem in open information extraction and text mining is the learning of the selectional restrictions of semantic relations. We propose a minimally supervised boots...
JAIR
2010
13 years 3 months ago
2010
Vast amounts of text on the Web are unstructured and ungrammatical, such as classified ads, auction listings, forum postings, etc. We call such text “posts.” Despite their in...