Improving the documentation for "word", within the pipeline. (#18763)

* Improving the documentation for "word", within the pipeline.

* Quality.

src/transformers/pipelines/token_classification.py

@@ -172,7 +172,8 @@ def __call__(self, inputs: Union[str, List[str]], **kwargs):
             corresponding input, or each entity if this pipeline was instantiated with an aggregation_strategy) with
             the following keys:
 
-            - **word** (`str`) -- The token/word classified.
+            - **word** (`str`) -- The token/word classified. This is obtained by decoding the selected tokens. If you
+              want to have the exact string in the original sentence, use `start` and `stop`.
             - **score** (`float`) -- The corresponding probability for `entity`.
             - **entity** (`str`) -- The entity predicted for that token/word (it is named *entity_group* when
               *aggregation_strategy* is not `"none"`.