By Anonymous User
Review Details
Reviewer has chosen to be Anonymous
Overall Impression: Good
Content:
Technical Quality of the paper: Good
Originality of the paper: Yes
Adequacy of the bibliography: Yes
Presentation:
Adequacy of the abstract: Yes
Introduction: background and motivation: Good
Organization of the paper: Satisfactory
Level of English: Satisfactory
Overall presentation: Excellent
Detailed Comments:
I would like to thank the authors for addressing my comments. Most of my issues were related to presentation and structure and they have all been addressed. I still think this paper is a useful contribution to this special issue.
I still find it a bit weird that Fig. 11. contains both DL and Graph DL (I am aware that in the text the authors have specifically mentioned that they exclude Graph DL from the DL), but I think this could be just a subjective comment and since it is mentioned in the text it should not be a problem.
I also appreciate the addition to the limitation section. Note that probably in replying to my comments and to R1's comments the authors might have said the same thing two times i.e., the "LLMs for knowledge engineering patterns are not in this paper because of data collection." Just pointing this out in case the authors want to streamline the section, there is no real need to address this.
To be honest, I am not sure about the additional value brought by section 5, but I understand this was added as a response to R3. I'd still suggest the authors to improve the quality of Figure 12b (most figures seem to be low quality, but this one is particularly blurry).