Obviously, this is by no means the best metaphor for comparing topic modeling and NER, rather a visualization of an important issue that has to be considered when developing data processing pipelines. For completeness, let us note that, in the case of disambiguity, there are also models for ...
Compared to the sequential architecture of RNNs, CNN has a hierarchical architecture able to extract position-invariant features instead of modeling context dependencies. Accordingly, they are most suitable in such tasks where keyword extraction is involved. More recently, in the literature have been ...