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» High Performance Reasoning with Very Large Knowledge Bases
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ICSR
2000
Springer
15 years 1 months ago
A New Control Structure for Transformation-Based Generators
A serious problem of most transformation-based generators is that they are trying to achieve three mutually antagonistic goals simultaneously: 1) deeply factored operators and oper...
Ted J. Biggerstaff
65
Voted
EMNLP
2006
14 years 11 months ago
Unsupervised Information Extraction Approach Using Graph Mutual Reinforcement
Information Extraction (IE) is the task of extracting knowledge from unstructured text. We present a novel unsupervised approach for information extraction based on graph mutual r...
Hany Hassan, Ahmed Hassan, Ossama Emam
LREC
2010
145views Education» more  LREC 2010»
14 years 11 months ago
Generic Ontology Learners on Application Domains
In ontology learning from texts, we have ontology-rich domains where we have large structured domain knowledge repositories or we have large general corpora with large general str...
Francesca Fallucchi, Maria Teresa Pazienza, Fabio ...
MLDM
2009
Springer
15 years 4 months ago
PMCRI: A Parallel Modular Classification Rule Induction Framework
In a world where massive amounts of data are recorded on a large scale we need data mining technologies to gain knowledge from the data in a reasonable time. The Top Down Induction...
Frederic T. Stahl, Max A. Bramer, Mo Adda
ALENEX
2001
105views Algorithms» more  ALENEX 2001»
14 years 11 months ago
A Probabilistic Spell for the Curse of Dimensionality
Range searches in metric spaces can be very di cult if the space is \high dimensional", i.e. when the histogram of distances has a large mean and a small variance. The so-cal...
Edgar Chávez, Gonzalo Navarro