On the other hand, we observe the reconstruction model could potentially go beyond surface token-wise match between NL utterances and MRs, promoting more complex (longer) candidate MRs that more adequately encode the semantics of the input utterance 7 (e.g., in Example 3, z 5 receives a much higher reconstruction score, while the difference between the discriminative matching scores is small).
this research was supported by NSF Award No.