To see the live demo of this project, you can try in this link
This script runs using Python 3.
First, install the required packages. This script only requires nltk
and PyEnchant
.
$ pip install -r requirements.txt
If you run the error that the package punkt
doesn't exist, download it by going into your Python environment and running:
$ python3
>>> import nltk
>>> nltk.download('punkt')
To query for a certain keyword, run:
$ python3 sotawhat.py "[keyword]" [number of results]
For example:
$ python3 sotawhat.py "perplexity" 10
If you don't specify the number of results, by default, the script returns 5 results. Each result contains the title of the paper with author and published date, a summary of the abstract, and link to the paper.
We've found that this script works well with keywords that are:
- a model (e.g. transformer, wavenet, ...)
- a dataset (e.g. wikitext, imagenet, ...)
- a task (e.g. 'language model', 'machine translation', 'fuzzing', ...)
- a metric (e.g. BLEU, perplexity, ...)
- random stuff