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» Unsupervised Natural Language Processing Using Graph Models
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ECHT
1992
13 years 12 months ago
Gram: A Graph Data Model and Query Language
We present a model for data organized as graphs. Regular expressions over the types of the node and edge labels are used to qualify connected subgraphs. An algebraic language base...
Bernd Amann, Michel Scholl
GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
14 years 1 months ago
Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging
The process of labeling each word in a sentence with one of its lexical categories (noun, verb, etc) is called tagging and is a key step in parsing and many other language processi...
Lourdes Araujo
ICDIM
2008
IEEE
14 years 2 months ago
Unsupervised key-phrases extraction from scientific papers using domain and linguistic knowledge
The domain of Digital Libraries presents specific challenges for unsupervised information extraction to support both the automatic classification of documents and the enhancement ...
Mikalai Krapivin, Maurizio Marchese, Andrei Yadran...
WSC
2004
13 years 9 months ago
Some Recent Advances in the Process World View
We discuss a modification of the process world view, a graphical modeling representation language for the modified process world view called Control Flow Graphs (CFGs), an extensi...
Robert G. Sargent
AAAI
2012
11 years 10 months ago
A Testbed for Learning by Demonstration from Natural Language and RGB-Depth Video
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
Young Chol Song, Henry A. Kautz