Automated WordNet Construction Using Word Embeddings
Mikhail Khodak, Andrej Risteski, Christiane Fellbaum, Sanjeev Arora · 2017
We present a fully unsupervised method for automated construction of WordNets based upon recent advances in distributional representations of sentences and word-senses combined with readily available machine translation tools.The approach requires very few linguistic resources and is thus extensible to multiple target languages.To evaluate our method we construct two 600-word test sets for word-to-synset matching in French and Russian using native speakers and evaluate the performance of our method along with several other recent approaches.Our method exceeds the best language-specific and multi-lingual automated WordNets in F-score for both languages.The databases we construct for French and Russian, both languages without large publicly available manually constructed WordNets, will be publicly released along with the test sets.