On top of word embeddings, a new stream of research on sentence and paragraph embeddings has also emerged to tackle higher level tasks such as sentiment analysis, machine translation and semantic relatedness tasks.
it is clear that conventional word embeddings (which solely rely on word co-occurrence in a context window) can only offer limited discriminative power because queries and ad text are typically very short.