A semantic relatedness metric based on free link structure (short paper)
نویسندگان
چکیده
While shortest paths in WordNet are known to correlate well with semantic similarity, an is-a hierarchy is less suited for estimating semantic relatedness. We demonstrate this by comparing two free scale networks ( ConceptNet and Wikipedia) to WordNet. Using the Finkelstein353 dataset we show that a shortest path metric run on Wikipedia attains a better correlation than WordNet-based metrics. ConceptNet attains a good correlation as well, but suffers from a low concept coverage.
منابع مشابه
Presentation of an efficient automatic short answer grading model based on combination of pseudo relevance feedback and semantic relatedness measures
Automatic short answer grading (ASAG) is the automated process of assessing answers based on natural language using computation methods and machine learning algorithms. Development of large-scale smart education systems on one hand and the importance of assessment as a key factor in the learning process and its confronted challenges, on the other hand, have significantly increased the need for ...
متن کاملPresentation of an efficient automatic short answer grading model based on combination of pseudo relevance feedback and semantic relatedness measures
Automatic short answer grading (ASAG) is the automated process of assessing answers based on natural language using computation methods and machine learning algorithms. Development of large-scale smart education systems on one hand and the importance of assessment as a key factor in the learning process and its confronted challenges, on the other hand, have significantly increased the need for ...
متن کاملA semantic relatedness metric based on free link structure
While shortest paths in WordNet are known to correlate well with semantic similarity, an is-a hierarchy is less suited for estimating semantic relatedness. We demonstrate this by comparing two free scale networks ( ConceptNet and Wikipedia) to WordNet. Using the Finkelstein353 dataset we show that a shortest path metric run on Wikipedia attains a better correlation than WordNet-based metrics. C...
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Wikipedia has grown into a high quality up-todate knowledge base and can enable many knowledge-based applications, which rely on semantic information. One of the most general and quite powerful semantic tools is a measure of semantic relatedness between concepts. Moreover, the ability to efficiently produce a list of ranked similar concepts for a given concept is very important for a wide range...
متن کاملUsing the Structure of a Conceptual Network in Computing Semantic Relatedness
We present a new method for computing semantic relatedness of concepts. The method relies solely on the structure of a conceptual network and eliminates the need for performing additional corpus analysis. The network structure is employed to generate artificial conceptual glosses. They replace textual definitions proper written by humans and are processed by a dictionary based metric of semanti...
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