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» Unsupervised Natural Language Processing Using Graph Models
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EMNLP
2009
15 years 4 days ago
Improving Verb Clustering with Automatically Acquired Selectional Preferences
In previous research in automatic verb classification, syntactic features have proved the most useful features, although manual classifications rely heavily on semantic features. ...
Lin Sun, Anna Korhonen
NLDB
2007
Springer
15 years 8 months ago
Four Methods for Supervised Word Sense Disambiguation
Word sense disambiguation is the task to identify the intended meaning of an ambiguous word in a certain context, one of the central problems in natural language processing. This p...
Kinga Schumacher
SIPS
2006
IEEE
15 years 8 months ago
Configuration and Representation of Large-Scale Dataflow Graphs using the Dataflow Interchange Format
—A wide variety of DSP design tools have been developed that incorporate dataflow graph representations into their GUI-based design environments. However, as the complexity of ap...
Ivan Corretjer, Chia-Jui Hsu, Shuvra S. Bhattachar...
ACL
1990
15 years 3 months ago
Transforming Syntactic Graphs into Semantic Graphs
In this paper, we present a computational method for transforming a syntactic graph, which represents all syntactic interpretations of a sentence, into a semantic graph which filt...
Hae-Chang Rim, Jungyun Seo, Robert F. Simmons
UML
2000
Springer
15 years 5 months ago
Using UML Collaboration Diagrams for Static Checking and Test Generation
Software testing can only be formalized and quanti ed when a solid basis for test generation can be de ned. Tests are commonly generated from program source code, graphical models ...
Aynur Abdurazik, A. Jefferson Offutt