They train word2vec skip-gram embeddings using coordinations as context. They use 11 manual patterns to extract coordinations (eg “X and Y”, “either X or Y”, etc). From “boats or planes”, “boats” will be a context of “planes” and “planes” will be a context of “boats”.
They evaluate on SimLex-999 and find that this performs badly on nouns. However, it beats normal skip-gram and dependency-based skip-gram on verbs and adjectives.