Update README.md

README.md

+# absinth
+
+Absinth is a graph based approach to word sense induction. Out system is based on Hyperlex (Véronis 2004) and made for SemEval-2013 Task 11 (Navigli, Vannella).
+
+## Getting Started
+
+Clone our system using git.
+
+```
+git clone https://gitlab.cl.uni-heidelberg.de/zimmermann/absinth/
+```
+
+### Prerequisites
+
+Download the evaluator and dataset from the task page and place them in the appropriate folders. This repository already includes a version of this evaluator. For proper testing however, the official one should be used.
+
+```
+https://www.cs.york.ac.uk/semeval-2013/task11/index.php%3Fid=data.html
+```
+
+### Installing
+
+A step by step series of examples that tell you have to get a development env running
+
+Change to source directory.
+
+```
+$ cd absinth/src
+```
+
+Run setup.py.
+
+```
+python3 setup.py
+```
+
+Specify paths and (if appropriate) other variables for our system.
+
+```
+emacs config.py
+```
+
+## Deployment
+
+Run absinth without modifiers to use the dataset path and with '-t' for the trial path.
+
+```
+python3 absinth.py
+```
+
+```
+python3 absinth.py -t
+```
+
+## Built With
+
+* [NetworkX](https://networkx.github.io/) - Graph implementation
+* [NLTK](http://www.nltk.org/ - Stopwords
+* [Spacy](https://spacy.io/) - Tokenisation and syntactic parsing
+* [NumPy](http://www.numpy.org/) - Maths
+
+## Authors
+
+* **Maja Hoffmann** - [hoffmann](https://gitlab.cl.uni-heidelberg.de/hoffmann/)
+* **Victor Zimmermann** - [zimmermann](http://www.cl.uni-heidelberg.de/~zimmermann/)
+
+## License
+
+This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details
+
+## Acknowledgments
+
+* In Loving Memory of Bente Nittka.