State-of-the-art approaches rely on word vector representations with TF-IDF weights (Salton and Buckley, 1988).
expanding the seed set by relying on TF-IDF representations to find similar instances has limitations, since the similarity between any two relationship instance vectors of TF-IDF weights is only positive when the instances share at least one term.