Here, the LSTM embeddings perform similarly to the Word2vec embeddings, perhaps because the PROPERTY COM-MON SENSE vocabulary consists of less frequent nouns than in VERB PHYSICS.
the Word2vec embeddings are able to catch up due to their larger vocabulary and much larger training corpus.