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Absinth - A Small World of Semantic Similarity
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Victor Zimmermann
Absinth - A Small World of Semantic Similarity
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e36424fa
authored
7 years ago
by
Victor Zimmermann
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@@ -7,16 +7,16 @@ Absinth is a graph based approach to word sense induction. Out system is based o
Clone our system using git.
```
git clone https://gitlab.cl.uni-heidelberg.de/zimmermann/absinth/
$
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
...
...
@@ -31,13 +31,13 @@ $ cd absinth/src
Run setup.py.
```
python3 setup.py
$
python3 setup.py
```
Specify paths and (if appropriate) other variables for our system.
```
emacs config.py
$
emacs config.py
```
## Deployment
...
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@@ -45,17 +45,17 @@ emacs config.py
Run absinth without modifiers to use the dataset path and with '-t' for the trial path.
```
python3 absinth.py
$
python3 absinth.py
```
```
python3 absinth.py -t
$
python3 absinth.py -t
```
## Built With
*
[
NetworkX
](
https://networkx.github.io/
)
- Graph implementation
*
[
NLTK
](
http://www.nltk.org/
- Stopwords
*
[
NLTK
](
http://www.nltk.org/
)
- Stopwords
*
[
Spacy
](
https://spacy.io/
)
- Tokenisation and syntactic parsing
*
[
NumPy
](
http://www.numpy.org/
)
- Maths
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