before_sent:  We demonstrate on open-domain question answering that the generated contexts significantly enrich the semantics of the queries and thus GAR with sparse representations (BM25) achieves comparable or better performance than the state-of-the-art dense  methods such as DPR \mbox{%DIFAUXCMD karpukhin2020dense .
before_sent_with_intent: <coherence>  We demonstrate on open-domain question answering that the generated contexts significantly enrich the semantics of the queries and thus GAR with sparse representations (BM25) achieves comparable or better performance than the state-of-the-art dense  methods such as DPR \mbox{%DIFAUXCMD karpukhin2020dense .
after_sent:  We demonstrate that the generated contexts significantly enrich the semantics of the queries and thus GAR with sparse representations (BM25) achieves comparable or better performance than the state-of-the-art dense methods such as DPR \mbox{%DIFAUXCMD karpukhin2020dense .