Definition Modeling: Learning to define word embeddings in natural language
Table 6: Model performance on Reverse (RVD) and Forward (FWD) Dictionary tasks
['Model', '#Params', 'RVD @1', 'RVD @10', 'FWD R-Prec']
However, we note that our models have more parameters than those from previous work. Furthermore, we find that RNN w2v cosine performs better than BOW w2v cosine, which differs from the previous work. We omit the information retrieval approach baseline because it is not obvious how to search for unseen words in the test set.