- I would have liked to see more examples of objects pairs, action verbs, and predicted attribute relations. What are some interesting action verbs and corresponding attributes relations? The paper also lacks analysis/discussion on what kind of mistakes their model makes.
- The number of object pairs (3656) in the dataset is very small. How many distinct object categories are there? How scalable is this approach to larger number of object pairs?
- It's a bit unclear how the frame similarity factors and attributes similarity factors are selected.
General Discussion/Suggestions: - The authors should discuss the following work and compare against mining attributes/attribute distributions directly and then getting a comparative measure. What are the advantages offered by the proposed method compared to a more direct approach?
Extraction and approximation of numerical attributes from the Web Dmitry Davidov, Ari Rappoport ACL 2010 Minor typos: 1. In the abstract (line 026), the authors mention 'six' dimensions, but in the paper, there is only five.
2. line 248: Above --> The above 3. line 421: object first --> first 4. line 654: more skimp --> a smaller 5. line 729: selctional --> selectional
- It's a bit unclear how the frame similarity factors and attributes similarity factors are selected.