UTD: Classifying Semantic Relations by Combining Lexical and Semantic Resources
نویسندگان
چکیده
This paper describes our system for SemEval-2010 Task 8 on multi-way classification of semantic relations between nominals. First, the type of semantic relation is classified. Then a relation typespecific classifier determines the relation direction. Classification is performed using SVM classifiers and a number of features that capture the context, semantic role affiliation, and possible pre-existing relations of the nominals. This approach achieved an F1 score of 82.19% and an accuracy of 77.92%.
منابع مشابه
Extraction, Evaluation and Integration of Lexical-Semantic Relations for the Automated Construction of a Lexical Ontology
Several approaches for extracting semantic relations from various types of resources have been proposed during the last years. While already of great value when used separately, combining these techniques promises to lead to even broader and more reliable results. However, divergent information may occur when assembling such data. We present LexO, a framework for integrating semantic relations ...
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