Natural Language Engineering
نویسندگان
چکیده
We consider a dependency-parsed text corpus as an instance of a labeled directed graph, where nodes represent words and weighted directed edges represent the syntactic relations between them. We show that graph walks, combined with existing techniques of supervised learning that model local and global information about the graph walk process, can be used to derive a task-specific word similarity measure in this graph. We also propose and evaluate a new learning method in this framework, a path-constrained graph walk variant, in which the walk process is guided by high-level knowledge about meaningful edge sequences (paths) in the graph. Empirical evaluation on the tasks of named entity coordinate term extraction and general word synonym extraction show that this framework is preferable to, or competitive with, vector-based models when learning is applied, and using small to moderate size text corpora.
منابع مشابه
An approach to program understanding by natural language understanding
Published in Natural Language Engineering, Cambridge University Press, Vol. 5, Issue 1, pp.1-18, 1999 (Copyright Cambridge University Press, 1999) An Approach to Program Understanding by Natural Language Understanding Letha H. Etzkorn, Lisa L. Bowen, Carl G. Davis Computer Science Department The University of Alabama in Huntsville Huntsville, AL 35899 [email protected], [email protected], cda...
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