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» Graph-based text database for knowledge discovery
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PKDD
1998
Springer
113views Data Mining» more  PKDD 1998»
13 years 9 months ago
Text Mining at the Term Level
Knowledge Discovery in Databases (KDD) focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns within them. While most work on...
Ronen Feldman, Moshe Fresko, Yakkov Kinar, Yehuda ...
NIPS
2004
13 years 6 months ago
Learning Syntactic Patterns for Automatic Hypernym Discovery
Semantic taxonomies such as WordNet provide a rich source of knowledge for natural language processing applications, but are expensive to build, maintain, and extend. Motivated by...
Rion Snow, Daniel Jurafsky, Andrew Y. Ng
SIGIR
2008
ACM
13 years 5 months ago
Advances in information and knowledge management
Several research areas today overlap between the tracks of databases, information retrieval and knowledge management, such as natural language processing, semantic web, digital li...
Aparna S. Varde, Jian Pei
DGO
2007
192views Education» more  DGO 2007»
13 years 7 months ago
D-HOTM: distributed higher order text mining
We present D-HOTM, a framework for Distributed Higher Order Text Mining based on named entities extracted from textual data that are stored in distributed relational databases. Unl...
William M. Pottenger
KDD
1997
ACM
169views Data Mining» more  KDD 1997»
13 years 9 months ago
Learning to Extract Text-Based Information from the World Wide Web
Thereis a wealthof informationto be minedfromnarrative text on the WorldWideWeb.Unfortunately, standard natural language processing (NLP)extraction techniques expect full, grammat...
Stephen Soderland