bump version number to v0.8.1

Author: schmmd

.github/ISSUE_TEMPLATE/question.md

@@ -9,7 +9,7 @@ Please first search our GitHub repository for similar questions.  If you don't f
 **System (please complete the following information):**
  - OS: [e.g. OSX, Linux]
  - Python version: [e.g. 3.6.1]
- - AllenNLP version: [e.g. v0.8.0, or "I installed from master"]
+ - AllenNLP version: [e.g. v0.8.1, or "I installed from master"]
  - PyTorch version: (if you installed it yourself)
 
 **Question**

README.md

@@ -109,10 +109,10 @@ Once you have [installed Docker](https://docs.docker.com/engine/installation/)
 just run the following command to get an environment that will run on either the cpu or gpu.
 
    ```bash
-   docker run -it -p 8000:8000 --rm allennlp/allennlp:v0.8.0
+   docker run -it -p 8000:8000 --rm allennlp/allennlp:v0.8.1
    ```
 
-You can test the Docker environment with `docker run -it -p 8000:8000 --rm allennlp/allennlp:v0.8.0 test-install`.
+You can test the Docker environment with `docker run -it -p 8000:8000 --rm allennlp/allennlp:v0.8.1 test-install`.
 
 ### Installing from source
 

allennlp/version.py

@@ -1,6 +1,6 @@
 _MAJOR = "0"
 _MINOR = "8"
-_REVISION = "1-unreleased"
+_REVISION = "1"
 
 VERSION_SHORT = "{0}.{1}".format(_MAJOR, _MINOR)
 VERSION = "{0}.{1}.{2}".format(_MAJOR, _MINOR, _REVISION)

tutorials/README.md

@@ -2,7 +2,7 @@
 
 ### If you're just starting, please check out [the tutorial on our website](https://allennlp.org/tutorials). We've designed it to be the simplest and quickest way to get your toes wet with AllenNLP.
 
-The tutorials available here on the repo relate to the version of AllenNLP at the git commit SHA you are currently looking at (likely the HEAD commit of the master branch).  If you want to see the tutorials that relate to the latest pip release, please see https://github.com/allenai/allennlp/tree/v0.8.0/tutorials.
+The tutorials available here on the repo relate to the version of AllenNLP at the git commit SHA you are currently looking at (likely the HEAD commit of the master branch).  If you want to see the tutorials that relate to the latest pip release, please see https://github.com/allenai/allennlp/tree/v0.8.1/tutorials.
 
 Our 2018 EMNLP tutorial is available at https://github.com/allenai/writing-code-for-nlp-research-emnlp2018.