286 search results - page 9 / 58 » Learning taxonomic relations from a set of text documents |
EMNLP
2010
13 years 5 months ago
2010
We present a novel approach to relation extraction that integrates information across documents, performs global inference and requires no labelled text. In particular, we tackle ...
ICPR
2010
IEEE
13 years 6 months ago
2010
IEEE
Documents in many corpora, such as digital libraries and webpages, contain both content and link information. In a traditional topic model which plays an important role in the uns...
CIKM
2006
Springer
13 years 11 months ago
2006
Springer
Incremental hierarchical text document clustering algorithms are important in organizing documents generated from streaming on-line sources, such as, Newswire and Blogs. However, ...
SIGIR
1999
ACM
13 years 12 months ago
1999
ACM
This paper presents a means of automatically deriving a hierarchical organization of concepts from a set of documents without use of training data or standard clustering technique...
WWW
2004
ACM
14 years 8 months ago
2004
ACM
In this paper, we present automated techniques for bootstrapping and populating specialized domain ontologies by organizing and mining a set of relevant overlapping Web sites prov...