- The writing is really poor. Many places are very confusing. The figures are not clearly separated from the text, and it is confusing that where I should look at. Many sentences use the past tense, while other sentences use the present tense. The only reason that I would like this paper to be accepted is because of the dataset. The writing itself is far from a solid paper, and I suggest authors go over the writing again.
- This dataset is the first Thai N-NER dataset, and N-NER in Thai is a new task for the community, so it could be very insightful to know what specific challenges are in Thai, and what errors the models make. The paper provides an error analysis, but not deep enough. It would be insightful if the authors could list error patterns at a finer granularity.
It is also unclear to me that why syllable segmentation could be useful for the annotation. Many of the readers do not know Thai, so I think more explanation is necessary.
For the writing part, for example, Section 3 is mixed with the past tense and present tense. Figure 2 is hidden in the text. I suggest the authors put all the tables and figures at the top of the pages.
- The writing is really poor. Many places are very confusing. The figures are not clearly separated from the text, and it is confusing that where I should look at. Many sentences use the past tense, while other sentences use the present tense. The only reason that I would like this paper to be accepted is because of the dataset. The writing itself is far from a solid paper, and I suggest authors go over the writing again.