Review for NeurIPS paper: Strongly Incremental Constituency Parsing with Graph Neural Networks

This is a borderline paper. The technical contribution is interesting and appreciated by the reviewers. The results match the state of the art on PTB and are better on CTB. There are, however, some concerns with the paper. One of the reviewers summarized it very well: "In its present form, the scope of the paper seems too narrow. It is also somewhat unclear whom the intended audience ought to be. If the work aims to say something about psycholinguistics, the experiment should reflect that. If the work's goal is to support NLP applications, further justifications and motivations should be provided as to how a strongly incremental constituency parser might be useful in a current NLP pipeline. If the work aims to shed lights on our understanding of GNN, the paper would need to be refocused accordingly."