Remove `simply`
I was reading this page, and as a relative beginner, nothing about it was simple :)
@@ -587,7 +587,7 @@ consists of either two or three subnetworks:
run once for each batch.
- **lower**: Construct a feature-specific vector for each `(token, feature)`
pair. This is also run once for each batch. Constructing the state
- representation is then simply a matter of summing the component features and
+ representation is then a matter of summing the component features and
applying the non-linearity.
- **upper** (optional): A feed-forward network that predicts scores from the
state representation. If not present, the output from the lower model is used
@@ -628,7 +628,7 @@ same signature, but the `use_upper` argument was `True` by default.
> ```
Build a tagger model, using a provided token-to-vector component. The tagger
-model simply adds a linear layer with softmax activation to predict scores given
+model adds a linear layer with softmax activation to predict scores given
the token vectors.
| Name | Description |
@@ -920,5 +920,5 @@ A function that reads an existing `KnowledgeBase` from file.
A function that takes as input a [`KnowledgeBase`](/api/kb) and a
[`Span`](/api/span) object denoting a named entity, and returns a list of
plausible [`Candidate`](/api/kb/#candidate) objects. The default
-`CandidateGenerator` simply uses the text of a mention to find its potential
+`CandidateGenerator` uses the text of a mention to find its potential
aliases in the `KnowledgeBase`. Note that this function is case-dependent.
