Dear Haifeng,
Would you not be able to use ordinary information retrieval techniques such as bag-of-words/phrases and tfidf? Explicit semantic analysis (ESA) uses this approach (though its primary focus is word semantic similarity).
There are a few papers for ESA: https://tools.wmflabs.org/scholia/topic/Q5421270
I have also used it in "Open semantic analysis: The case of word level semantics in Danish" http://www2.compute.dtu.dk/pubdb/views/edoc_download.php/7029/pdf/imm7029.pdf
Finn Årup Nielsen http://people.compute.dtu.dk/faan/ On 04/05/2019 13:47, Haifeng Zhang wrote:
Dear folks, Is there a way to compute content similarity between two Wikipedia articles? For example, I can think of representing each article as a vector of likelihoods over possible topics. But, I wonder there are other work people have already explored in the past. Thanks, Haifeng _______________________________________________ Wiki-research-l mailing list [email protected] https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
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