It may be difficult to spot patterns by just looking at a collection of images. Another method is to tag all descriptions with part-of-speech information, so that it becomes possible to see e.g. which adjectives are most commonly used for particular nouns. One method readers may find particularly useful is to leverage the structure of Flickr30K Entities BIBREF8 . Following this, I applied Louvain clustering BIBREF9 to the coreference graph, resulting in clusters of expressions that refer to similar entities. 
 Question: Which methods are considered to find examples of biases and unwarranted inferences??
spot patterns by just looking at a collection of images tag all descriptions with part-of-speech information I applied Louvain clustering