text: This submission proposes a new seq2sel solution by adopting two new techniques, a sequence-to-set model and column attention mechanism.  They show performance improve over existing studies on WikiSQL dataset. While the paper is written clearly,  the contributions of the work heavily depends on the WikiSQL dataset.  It is not sure if the approach is generally applicable to other sequence-to-sql workloads.  Detailed comments are listed below: 1. WikiSQL dataset contains only a small class of SQL queries, with aggregation over single table and various filtering conditions.  It does not involve any complex operator in relational database system, e.g., join and groupby.  Due to its simple structure, the problem of sequence-to-sql translation over WikiSQL is actually simplified as a parameter selection problem for a fixed template.  This greatly limits the generalization of approaches only applicable to WikiSQL.  The authors are encouraged to explore other datasets available in the literature. 2. The "order-matters" motivation is not very convincing.  It is straightforward to employ a global ordering approach to rank the columns and filtering conditions based on certain rules, e.g., alphabetical order.  That could ensure the orders in the SQL results are always consistent. 3. The experiments do not fully verify how the approaches bring performance improvements.  In the current version, the authors only report superficial accuracy results on final outcomes, without any deep investigation into why and how their approach works.  For instance, they could verify how much accuracy improvement is due to the insensitivity to order in filtering expressions. 4. They do not compare against state-of-the-art solution on column and expression selection.  While their attention mechanism over the columns could bring performance improvement,  they should have included experiments over existing solutions designed for similar purpose.  In (Yin, et al., IJCAI 2016), for example, representations over the columns are learned to generate better column selection. As a conclusion, I find the submission contains certain interesting ideas but lacks serious research investigations.  The quality of the paper could be much enhanced, if the authors deepen their studies on this direction.