Update kvmemn2n.rst

removal of extra bullets

Author: bethke

doc/source/kvmemn2n.rst

@@ -28,11 +28,11 @@ The idea behind this method is to be able to answer wide range of questions base
 
 Files
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-- * **nlp_architect/models/kvmemn2n.py**: Defines the key-value memory network model.
-- * **nlp_architect/data/wikimovies.py**: Will download and process the data necessary to train the key-value memory network model.
-- * **examples/train_kvmemn2n.py**: The primary class which processes the request to train or run inference on the key-value memory network model. It in turn will call the data processing algorithm when necessary.
-- * **examples/wikiwindows.py**: A key data preprocessing stage necessary when using the raw Wikipedia text knowledge base. It is called by data.py, or can be run independently.
-- * **examples/interactive_util.py**: Called by train_kvmemn2n.py to facilitate the interactive mode.
+- **nlp_architect/models/kvmemn2n.py**: Defines the key-value memory network model.
+- **nlp_architect/data/wikimovies.py**: Will download and process the data necessary to train the key-value memory network model.
+- **examples/train_kvmemn2n.py**: The primary class which processes the request to train or run inference on the key-value memory network model. It in turn will call the data processing algorithm when necessary.
+- **examples/wikiwindows.py**: A key data preprocessing stage necessary when using the raw Wikipedia text knowledge base. It is called by data.py, or can be run independently.
+- **examples/interactive_util.py**: Called by train_kvmemn2n.py to facilitate the interactive mode.