Long paper review scores across areas:
|Area||Ave before response||Ave after response||Min||Max|
|Vision, Robotics and Other Grounding||3.83||3.65||2||5|
|Tagging, Chunking, Syntax and Parsing||3.55||3.56||1.67||5|
|Theory and Formalisms||3.37||3.38||2||4.67|
|Dialogue and Interactive Systems||3.36||3.41||2||5|
|Social Media and Computational Social Science||3.33||3.32||1.33||4.67|
|Machine Learning for NLP||3.31||3.41||1.33||5|
|Discourse and Pragmatics||3.27||3.60||1.33||4.67|
|Phonology, Morphology and Word Segmentation||3.26||3.24||1.33||5|
|Cognitive Modeling and Psycholinguistics||3.24||3.86||1||4.67|
Heng has been mainly working on the IE area and always thinking that IE reviewers are harsh, e.g., they normally don’t nominate awards from IE area. The above table changed her impression positively.
Long paper review scores comparison across years:
|Score||NAACL-HLT 2013 (Daumé, 2013)||NAACL-HLT 2018|
From the scores it looks like the reviews are more harsh than those from five years ago. However we have a much larger and younger reviewer pool this year.
Did Author Response Help?
|Score||Before Response||After Response|
From the changes of score distributions we can see more reviews were changed to a medium score 3. 38 reviews increased scores, and 30 reviews decreased scores.
Generally speaking, reviews were harsh
Very few papers got Best Paper nominations from reviewers, while area chairs identified some excellent submissions for nominations.
Some reviews are too generic, e.g., “the method is more complicated than previous methods [without a concrete list of methods referred]”, “i really like the paper [without explaining merits]”. The PC chairs and area chairs urged these reviewers to refine their comments to make them more informative and constructive.
We could all be nicer. Authors really don’t have to criticize all previous papers in order to make their ideas outstanding; reviewers really don’t have to give harsh comments just because the authors did not cite reviewers’ own (sometimes very irrelevant) papers:-).