A supervised approach to taxonomy extraction using word embeddings
Rajdeep Sarkar, John Philip McCrae, Paul Buitelaar · 2018
Large collections of texts are commonly generated by large organizations and making sense of these collections of texts is a significant challenge.One method for handling this is to organize the concepts into a hierarchical structure such that similar concepts can be discovered and easily browsed.This approach was the subject of a recent evaluation campaign, TExEval, however the results of this task showed that none of the systems consistently outperformed a relatively simple baseline.In order to solve this issue, we propose a new method that uses supervised learning to combine multiple features with a support vector machine classifier including the baseline features.We show that this outperforms the baseline and thus provides a stronger method for identifying taxonomic relations than previous methods.